Flowers Foods (FLO) FCF Payout Ratio (2009 - 2026)
Flowers Foods' (FLO) FCF Payout Ratio stood at 0.67 in Q4 2026, down 61.3% from the prior quarter.
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Analysis
Flowers Foods (FLO) FCF Payout Ratio (2009 - 2026) Analysis & Trends
For FY2026, Flowers Foods' FCF Payout Ratio came in at 0.66.
- Across earlier years, FCF Payout Ratio came in at 0.72 in FY2024 (-18.3%), 0.89 in FY2023 (-8.9%) and 0.97 in FY2022 (+15.3%).
- Quarterly FCF Payout Ratio has ranged from 0.48 in Q1 2026 to 1.72 in Q3 2026 over the past five years.
- Per Business Quant, the preceding three quarters came in at 1.72 (Q3 2026), 0.52 (Q2 2026) and 0.48 (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FCF Cover (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 | 0.87 |
| 4 | Kraft Heinz | 27.82 Bn | 14.35 Bn | 2.03 Bn | - |
| 5 | General Mills | 18.09 Bn | 15.75 Bn | 1.49 Bn | 1.59 |
| 6 | Mccormick | 13.03 Bn | 12.90 Bn | 778.20 Mn | 0.38 |
| 7 | J M Smucker | 12.89 Bn | 12.68 Bn | 979.60 Mn | 0.35 |
| 8 | Hormel Foods | 10.92 Bn | 7.61 Bn | 471.52 Mn | 0.93 |
| 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 | 0.67 |
| Oct 4, 2025 | 1.72 |
| Jul 12, 2025 | 0.52 |
| Apr 19, 2025 | 0.48 |
| Dec 28, 2024 | 0.60 |
| Oct 5, 2024 | 0.57 |
| Jul 13, 2024 | 1.44 |
| Apr 20, 2024 | 0.71 |
| Dec 30, 2023 | 0.81 |
| Oct 7, 2023 | 0.49 |
| Jul 15, 2023 | 1.34 |
| Apr 22, 2023 | 2.05 |
| Dec 31, 2022 | 1.62 |
| Oct 8, 2022 | 0.60 |
| Jul 16, 2022 | 3.79 |
| Apr 23, 2022 | 0.63 |
| Apr 24, 2021 | 0.60 |
| Oct 3, 2020 | 0.63 |
| Jul 11, 2020 | 0.29 |
| Apr 18, 2020 | 0.48 |
API Access
Flowers Foods FCF Payout Ratio 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=fcf-payout-ratio&ticker=FLO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "fcf-payout-ratio", "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=fcf-payout-ratio&ticker=FLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();