Weekly Signals Desk | Five Dividend Increases Flagged by the FMP API (Nov 2-6)
Suncor lifted its quarterly dividend 10% this week, and it was the smaller of its two capital levers. The company had already raised its monthly buyback pace by half starting in October, which says something a dividend line cannot say on its own: when cash is abundant, management is reaching for the flexible lever first and the fixed one second. That ordering is a useful lens for the other four raises on this week's tape, from Fidelity National Financial, Snap-on, Regency Centers and Kodiak Gas Services, where the funding behind each increase looks very different.
This edition uses the FMP Dividends Calendar API to work through the five declarations, what each raise reveals about the business generating the cash, and how the same endpoint supports a repeatable process for catching payout changes the moment they are published.
Key Takeaways
- Raise size mapped poorly onto the strength of the preceding quarter: Fidelity National Financial lifted its payout in a quarter when adjusted earnings fell, while Suncor kept its dividend increase modest next to a record cash quarter.
- Two of the five indicated yields sit near 5% largely because share prices have retreated, not because the payouts jumped, which makes yield a weak standalone signal this week.
- Regency's 6% raise tracks its funds-from-operations growth closely, the clearest example in the group of a payout moving in step with recurring cash generation.
- The declaration identifies the event; cash flow, segment and price-change data decide whether the event is a signal or a formality.
Five Payout Decisions Worth a Closer Read
Fidelity National Financial (NYSE: FNF)
Fidelity National Financial declared a quarterly dividend of $0.54 per share, or $2.16 annualized, a 3.8% increase from the prior $0.52. The dividend is payable on December 31, 2026, to shareholders of record on December 17, with an ex-dividend date of December 17. The annual yield is about 5%.
The timing invites a closer look. The increase came the morning after third-quarter results in which headline net earnings rose sharply but adjusted earnings fell by roughly a fifth. The decline sat almost entirely in F&G, the annuity subsidiary, where management deliberately stepped back from multi-year guaranteed annuity business priced below its return thresholds. Title insurance, the segment that has historically funded the holding-company dividend, softened only slightly. Read that way, the raise is a statement about the resilience of title cash flow at a subdued point in the housing transaction cycle, not a verdict on consolidated earnings.
There is also a structural shift underway. FNF's ownership of F&G fell to roughly 72% after it distributed F&G shares to its own holders at the end of 2025, so the dividend is increasingly a title story. Capital returned this year has leaned heavily toward dividends, with repurchases a small fraction of the total. Splitting title and annuity contributions through FMP's Revenue Product Segmentation API, then setting holding-company cash and dividends paid against the Cash Flow Statement API, would show how much room the title business is providing and how sensitive that room is to mortgage activity.
Snap-on (NYSE: SNA)
Snap-on declared a quarterly dividend of $2.75 per share, equal to $11.00 annualized, a 12.7% increase from the prior $2.44. It will be paid on December 10, 2026, to shareholders of record on November 20, with an ex-dividend date of November 20. The annual yield is 3%.
This marks the company's 17th consecutive annual increase, and quarterly payments have continued without interruption or reduction since 1939. The pace has eased only slightly from last year's roughly 14% step, which keeps Snap-on among the more assertive raisers in industrials. Management framed the dividend as a core part of capital allocation alongside organic investment and acquisitions, language that places the payout on par with growth spending rather than treating it as residual cash.
The analytical question is arithmetic. Several years of double-digit raises have outpaced per-share earnings growth, which gradually pushes the payout ratio higher even when the business is performing steadily. That is not a warning on its own, but it narrows the cushion if technician spending or the company's franchisee credit book comes under pressure. Tracking payout ratio and free cash flow per share through FMP's Financial Ratios TTM API, alongside the raise history in the Dividends Company API, would show whether the gap between dividend growth and earnings growth is widening or settling.
Regency Centers (NASDAQ: REG)
Regency Centers declared a quarterly dividend of $0.80 per share, or $3.20 annualized, a 6% increase from the prior $0.755. The dividend is payable on January 5, 2027, to shareholders of record on December 14, 2026, with an ex-dividend date of December 14. The annual yield is 4.2%.
The declaration arrived with third-quarter results that look weaker on a GAAP basis than they are operationally. Net income per share declined because of a sizable impairment charge, while Nareit FFO per share grew about 7% and same-property net operating income rose 5.1%. Management raised its FFO and same-property NOI guidance even as it cut the net income range. A 6% dividend increase set against roughly 7% FFO growth is the cleanest example of payout discipline in this group: the board is passing through recurring cash growth rather than stretching ahead of it.
What deserves attention is the composition of that growth. Same-property NOI excluding redevelopments ran closer to 3.5%, so part of the headline strength comes from projects maturing, and the company is funding a development pipeline of several hundred million dollars while holding leverage near 4.9 times EBITDAre. Comparing FFO-adjacent measures through FMP's Key Metrics TTM API with debt and liquidity in the Balance Sheet Statement API would help separate durable rent growth from redevelopment timing, and the impairment line merits a look to see which assets the company is marking down.
Suncor Energy (NYSE: SU)
Suncor Energy declared a quarterly dividend of C$0.66 per share, or C$2.64 annualized, a 10% increase from the prior C$0.60. The dividend will be paid on December 24, 2026, to shareholders of record on December 3, with an ex-dividend date of December 3. Converted to US dollars, the indicated yield is roughly 2.7% at the NYSE share price.
The raise came alongside a record third quarter for adjusted funds from operations and a balance sheet that has changed character within a year. Net debt fell to a fraction of its year-end level, refining posted record product sales, and an agreement to sell its East Coast offshore assets adds further proceeds once it closes. Buybacks in the quarter ran at roughly twice the dividend outlay, and the monthly repurchase pace had already been lifted by 50%. Management tied both decisions to confidence in the earnings power of its integrated model.
The signal therefore sits in the mix. A company with this much surplus could have raised the dividend far more; choosing a measured increase and a larger buyback preserves the ability to flex if crude prices or refining margins soften. Pairing FMP's Cash Flow Statement API with the Revenue Product Segmentation API would show how much of the surplus comes from upstream versus downstream operations. One practical note for US-based screens: the NYSE line is reported in US dollars after conversion, so currency movements can blur the apparent size of a Canadian dividend change.
Kodiak Gas Services (NYSE: KGS)
Kodiak Gas Services declared a quarterly dividend of $0.51 per share, or $2.04 annualized, a 4.1% increase from the prior $0.49. The dividend is payable on November 25, 2026, to shareholders of record on November 16, with an ex-dividend date of November 16. The annual yield is 4.9%.
The board made the decision days before third-quarter results, scheduled for November 9, and after three quarters at an unchanged payout. That sequencing reads as confidence in contracted compression cash flows, since boards rarely raise into a report they expect to disappoint. It also comes after a steep share price retreat since mid-September, a stretch that included a broad selloff in AI-infrastructure-linked names. Kodiak had signed a six-year agreement to supply roughly 76 megawatts of behind-the-meter power to a West Texas data center, which tied the stock more closely to that theme.
That context changes how the yield should be read. A figure near 5% here is mostly a function of the lower share price, not payout generosity. The more useful questions are fleet utilization, contract pricing, and how much capital the power-generation expansion will absorb relative to free cash flow. The upcoming release, visible through FMP's Earnings Calendar API, is the first test, and setting the share price path from the Stock Price Change API against cash generation in the Cash Flow Statement API would show whether the market's discount reflects the core business or the newer growth platform.
What the Five Raises Say When Read Together
The common thread this week is that raise size and financial strength moved independently. Suncor had the most surplus and kept its increase measured, steering the excess toward buybacks. Snap-on raised the most in percentage terms with no change in story, continuing a long habit that is gradually lifting its payout ratio. Regency matched its dividend to FFO growth almost exactly. Fidelity National Financial and Kodiak raised from positions where the share price, and in FNF's case adjusted earnings, had moved the other way, which makes their increases statements of confidence that will be tested by subsequent results.
That split matters because yield is an unreliable shortcut in a week like this. Two of the five indicated yields sit near 5% mainly because prices fell. A screen that ranks by yield would elevate exactly the names where the payout changed least and the uncertainty is highest. Decomposing yield into payout growth and price change is the step that separates a raise from a repricing, and it is where the data infrastructure behind FMP earns its place: when declarations, price history and financial statements share the same ticker keys, that decomposition becomes a join rather than a research project.
In practice the workflow starts with the Dividends Calendar API to capture the declaration, then the Dividends Company API to establish the prior payout and the cadence of past raises. The Stock Price Change API isolates how much of the yield shift came from the share price. The Cash Flow Statement API tests coverage once buybacks are included, which matters for Suncor and FNF, where repurchases and dividends compete for the same cash. The Earnings Calendar API places each declaration relative to the next report, which is how Kodiak's pre-results timing stands out. For REITs, the Key Metrics TTM API supplies the per-share measures needed to compare payout growth with recurring cash growth rather than GAAP earnings.
The broader takeaway is that a dividend raise is a management decision about the future made with present-day information. The data suggests these five decisions rest on different foundations, and the useful work lies in identifying which foundation each one depends on before the next quarter of results arrives.
From Declaration to Insight: Building a Repeatable Dividend Screen via FMP API
If dividend adjustments are going to function as usable signals, the process has to begin at the point where the decision actually occurs: the declaration itself. That means sourcing the data directly from the FMP Dividends Calendar API, which captures dividend announcements at the moment companies publish them, before those entries are absorbed into broader aggregated datasets.
Before running any queries, confirm that your API key is active. Once authenticated, the Dividends Calendar endpoint effectively becomes the intake layer for the entire workflow. It returns a structured dataset containing the ticker symbol, declared dividend amount, key payout dates (declaration, record, payment, and ex-dividend), yield, and payment frequency. That initial pull forms the starting universe from which dividend changes can be identified and analyzed.
Endpoint:
|
https://financialmodelingprep.com/stable/dividends-calendar?apikey=YOUR_API_KEY |
Sample Response:
|
[ { "symbol": "1D0.SI", "date": "2025-02-04", "recordDate": "", "paymentDate": "", "declarationDate": "", "adjDividend": 0.01, "dividend": 0.01, "yield": 6.25, "frequency": "Semi-Annual" } ] |
Step 1: Capture Recent Declarations
Start by querying the Dividends Calendar over a short, controlled time frame—typically the most recent 10 to 14 days. This window is long enough to capture new declarations while limiting contamination from older entries that sometimes reappear due to reporting delays. The output from this step forms the working universe for the rest of the analysis.
Step 2: Stack It Against the Prior Dividend
Next, for every ticker surfaced in the initial pull, retrieve the previous dividend using the historical dividend endpoint. This historical anchor is critical. Without it, unchanged recurring payments and true increases are indistinguishable. The comparison introduces context and allows the workflow to focus on intent rather than repetition.
Step 3: Filter for Material Moves
With both the new and prior dividend values in hand, calculate the percentage change using
(New Dividend − Old Dividend) ÷ Old Dividend × 100.
Apply your screening criteria to narrow the list. A common approach is to flag increases of 5% or more paired with an annual yield of at least 2%, which helps remove token raises while preserving economically relevant moves. Thresholds can be tuned depending on whether the focus is income generation, payout discipline, or signal detection.
Example Workflow: Detecting 5%+ Dividend Hikes
- Pull a fresh 14-day window from the Dividends Calendar API.
- For each ticker, fetch its prior payout via the historical dividend endpoint.
- Compute the percentage change using the formula above.
- Keep only companies posting 5%+ increases and yielding 2% or more.
Expanding Your Dividend Tracking Setup
Most dividend screens start out as simple monitoring systems. The initial goal is usually straightforward: capture new declarations quickly enough to feed a watchlist, weekly report, or alert workflow before the information gets absorbed into broader market data. Using the Financial Modeling Prep Free plan, that process stays lean and reactive, centered on pulling fresh entries from the Dividends Calendar as they are published.
The analysis becomes more useful once historical comparison enters the workflow. Access to roughly one year of dividend history through the Starter plan makes it possible to place each declaration against its prior payout rather than treating every entry as a standalone event. That shift matters because recurring dividends and genuine increases often look identical in raw calendar data. Once the historical layer is added, patterns begin to emerge around consistency, timing, and how management teams behave across different operating environments.
A longer historical window changes the screen again. With up to five years of dividend history available through the Premium, payout decisions can be evaluated across multiple business cycles instead of isolated reporting periods. At that depth, dividend changes stop functioning as simple event flags and start becoming part of a broader operating history — one that can be compared against earnings pressure, margin expansion, sector slowdowns, or shifts in capital allocation strategy over time.
When a Desk Tool Turns Into Firmwide Infrastructure
Most market-monitoring workflows do not begin as institutional systems. They start as tightly scoped analyst processes — a dividend screen running weekly, a historical comparison model maintained on a single desk, or a signal tracker built to support a specific coverage universe. The transition happens when those outputs start influencing conversations outside their original context. Once portfolio managers, strategy teams, and risk committees begin referencing the same screen, consistency becomes more important than the screen itself.
At that point, the analyst who built the workflow often becomes something else entirely: the internal advocate for standardization. The challenge shifts away from finding signals and toward ensuring every team is interpreting the same dataset under the same assumptions. That means aligning declaration feeds, refresh schedules, historical comparison windows, and filtering logic across desks. Without that coordination layer, firms gradually accumulate fragmented versions of the same model — similar screens producing slightly different conclusions because the underlying methodology drifted over time.
Centralized workflows reduce that friction. When dividend declaration data, historical payout comparisons, cash flow metrics, and analyst estimate revisions feed into a shared dashboard environment, research teams can spend less time reconciling discrepancies and more time debating interpretation. A portfolio manager reviewing a dividend signal should be looking at the same benchmark logic as the analyst who generated it and the risk team evaluating its exposure implications. Shared infrastructure turns isolated analysis into an institutional reference point.
As adoption broadens, governance naturally becomes part of the analytical process. Questions around lineage, revision tracking, access controls, and auditability start carrying as much weight as the signal itself. Teams want to know whether historical dividend records were revised, whether screening thresholds changed between quarters, and whether prior outputs can be reproduced under the same assumptions. In institutional environments, repeatability is credibility.
That is usually the stage where successful desk-level workflows migrate onto more formal infrastructure layers, not to change the analytical framework, but to preserve it as usage expands across teams. In practice, that often means consolidating data access and workflow management through systems designed for broader internal distribution, such as the Financial Modeling Prep Enterprise Plan, where the emphasis shifts toward stability, consistency, and operational transparency across the research stack.
The Raise Behind the Yield
A dividend increase is only as informative as the cash engine and the share price sitting behind it, and this week's five declarations rest on noticeably different foundations. Tracking them from the point of announcement through the FMP Dividends Calendar API is where separating conviction from arithmetic begins.
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Disclosure: Signals Desk content is provided for informational and analytical purposes only and does not constitute investment advice or trade recommendations. The analysis reflects interpretation of market data and publicly disclosed or third-party information, including data accessed via Financial Modeling Prep APIs, at the time of publication. Signals discussed are probabilistic, can be wrong, and may change as market conditions and consensus data evolve. This content should be considered alongside broader research, individual objectives, and risk assessment.

Weekly Signals Desk analysis and API-driven market workflows
David Kirakosyan writes the Weekly Signals Desk for FMP, breaking down market signals while showing readers how to build similar workflows using the FMP API. His work focuses on turning raw API data into practical market analysis and repeatable workflows that developers and analysts can adapt to their own research.
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