Flowers Foods (FLO) Dividend Yield (2011 - 2026)
Flowers Foods' Dividend Yield came in at 9.17% for Q4 2026, up 1.70 percentage points from the prior quarter.
Powered by 
Analysis
Flowers Foods (FLO) Dividend Yield (2011 - 2026) Analysis & Trends
Going back to Q1 2015, Flowers Foods' Dividend Yield data covers 12 quarters.
- Dividend Yield carries a five-year change of +6.14 percentage points (FY2021 to FY2026).
- Going back by year, Dividend Yield was 4.70% in FY2024 (+0.59 pp), 4.12% in FY2023 (+1.05 pp) and 3.07% in FY2022 (+0.04 pp).
- The Q4 2026 figure represents the highest quarterly Dividend Yield in data going back to Q1 2015.
- Business Quant data shows FLO's Dividend Yield at 7.47% (Q3 2026), 6.18% (Q2 2026) and 5.30% (Q1 2026) in the three quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 133.59 Bn | 108.95 Bn | - |
| 2 | Mondelez International | 75.71 Bn | 69.03 Bn | 3.99 Bn |
| 3 | Hershey | 32.64 Bn | 28.88 Bn | 1.26 Bn |
| 4 | Kraft Heinz | 27.82 Bn | 14.35 Bn | 2.03 Bn |
| 5 | General Mills | 18.09 Bn | 15.75 Bn | 1.49 Bn |
| 6 | Mccormick | 13.03 Bn | 12.90 Bn | 778.20 Mn |
| 7 | J M Smucker | 12.89 Bn | 12.68 Bn | 979.60 Mn |
| 8 | Hormel Foods | 10.92 Bn | 7.61 Bn | 471.52 Mn |
| 9 | Chewy | 7.33 Bn | 4.62 Bn | 1.01 Bn |
| 10 | Flowers Foods | 1.21 Bn | 1.11 Bn | 577.93 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jan 3, 2026 | 9.17% |
| Oct 4, 2025 | 7.47% |
| Jul 12, 2025 | 6.18% |
| Apr 19, 2025 | 5.30% |
| Dec 28, 2024 | 4.70% |
| Oct 5, 2024 | 4.26% |
| Jul 13, 2024 | 4.41% |
| Apr 20, 2024 | 3.80% |
| Dec 30, 2023 | 4.12% |
| Oct 7, 2023 | 4.27% |
| Jul 15, 2023 | 3.74% |
| Apr 22, 2023 | 3.28% |
| Dec 31, 2022 | 3.07% |
| Oct 8, 2022 | 3.69% |
| Jul 16, 2022 | 3.26% |
| Apr 23, 2022 | 3.14% |
| Jan 1, 2022 | 3.07% |
| Apr 24, 2021 | 3.25% |
| Oct 3, 2020 | 3.17% |
| Jul 11, 2020 | 3.51% |
API Access
Flowers Foods Dividend Yield API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=dividend-yield&ticker=FLO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "dividend-yield", "ticker": "FLO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=dividend-yield&ticker=FLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();