Flowers Foods (FLO) Debt Ratio (2010 - 2026)
Flowers Foods' (FLO) Debt Ratio came in at 0.40 for Q2 2027, down 0.3% from 0.41 a year earlier.
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Analysis
Flowers Foods (FLO) Debt Ratio (2010 - 2026) Analysis & Trends
For FY2026, Flowers Foods' Debt Ratio stood at 0.42.
- In prior years, Flowers Foods' Debt Ratio was 0.30 in FY2024 (-2.1%), 0.31 in FY2023 (+13.3%) and 0.27 in FY2022 (-1.6%).
- The Q2 2027 figure stands as the lowest quarterly Debt Ratio since Q3 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 133.59 Bn | 108.95 Bn | - | 0.42 |
| 2 | Mondelez International | 75.71 Bn | 69.03 Bn | 3.99 Bn | 0.30 |
| 3 | Hershey | 32.64 Bn | 28.88 Bn | 1.26 Bn | 0.40 |
| 4 | Kraft Heinz | 27.82 Bn | 14.35 Bn | 2.03 Bn | 0.26 |
| 5 | General Mills | 18.09 Bn | 15.75 Bn | 1.49 Bn | 0.45 |
| 6 | Mccormick | 13.03 Bn | 12.90 Bn | 778.20 Mn | 0.30 |
| 7 | J M Smucker | 12.89 Bn | 12.68 Bn | 979.60 Mn | 0.42 |
| 8 | Hormel Foods | 10.92 Bn | 7.61 Bn | 471.52 Mn | 0.21 |
| 9 | Chewy | 7.33 Bn | 4.62 Bn | 1.01 Bn | 0.16 |
| 10 | Flowers Foods | 1.21 Bn | 1.11 Bn | 577.93 Mn | 0.40 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 18, 2026 | 0.40 |
| Jan 3, 2026 | 0.42 |
| Oct 4, 2025 | 0.41 |
| Jul 12, 2025 | 0.41 |
| Apr 19, 2025 | 0.42 |
| Dec 28, 2024 | 0.30 |
| Oct 5, 2024 | 0.31 |
| Jul 13, 2024 | 0.32 |
| Apr 20, 2024 | 0.31 |
| Dec 30, 2023 | 0.31 |
| Oct 7, 2023 | 0.31 |
| Jul 15, 2023 | 0.31 |
| Apr 22, 2023 | 0.31 |
| Dec 31, 2022 | 0.27 |
| Oct 8, 2022 | 0.27 |
| Jul 16, 2022 | 0.27 |
| Apr 23, 2022 | 0.27 |
| Jan 1, 2022 | 0.28 |
| Oct 9, 2021 | 0.27 |
| Jul 17, 2021 | 0.27 |
API Access
Flowers Foods Debt 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=debt-ratio&ticker=FLO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-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=debt-ratio&ticker=FLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();