Flowers Foods (FLO) Interest Coverage Ratio (2009 - 2026)
Flowers Foods' Interest Coverage Ratio was 3.82 in Q2 2027, down 22.9% from 4.95 a year earlier.
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Analysis
Flowers Foods (FLO) Interest Coverage Ratio (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Flowers Foods' Interest Coverage Ratio was 2.10 through Jul 18, 2026, down 64.8% year-over-year; for FY2026, it came in at 2.27.
- In earlier years, Interest Coverage Ratio was 9.38 in FY2024 (+98.7%), 4.72 in FY2023 (-55.0%) and 10.48 in FY2022 (+12.1%).
- Quarterly Interest Coverage Ratio has moved between -3.57 (Q4 2026) and 7.81 (Q3 2022) over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Interest 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 | - |
| 4 | Kraft Heinz | 27.82 Bn | 14.35 Bn | 2.03 Bn | -207.45 |
| 5 | General Mills | 18.09 Bn | 15.75 Bn | 1.49 Bn | - |
| 6 | Mccormick | 13.03 Bn | 12.90 Bn | 778.20 Mn | 4.41 |
| 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 | 5.65 |
| 9 | Chewy | 7.33 Bn | 4.62 Bn | 1.01 Bn | - |
| 10 | Flowers Foods | 1.21 Bn | 1.11 Bn | 577.93 Mn | 3.82 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 18, 2026 | 3.82 |
| Jan 3, 2026 | -3.57 |
| Oct 4, 2025 | 3.65 |
| Jul 12, 2025 | 4.95 |
| Apr 19, 2025 | 4.33 |
| Dec 28, 2024 | 7.52 |
| Oct 5, 2024 | 10.38 |
| Jul 13, 2024 | 10.61 |
| Apr 20, 2024 | 8.99 |
| Dec 30, 2023 | 6.08 |
| Oct 7, 2023 | -6.94 |
| Jul 15, 2023 | 9.83 |
| Apr 22, 2023 | 8.65 |
| Dec 31, 2022 | 9.59 |
| Oct 8, 2022 | 8.15 |
| Jul 16, 2022 | 10.90 |
| Apr 23, 2022 | 12.64 |
| Jan 1, 2022 | 23.24 |
| Oct 9, 2021 | 7.81 |
| Jul 17, 2021 | 11.28 |
API Access
Flowers Foods Interest Coverage 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=interest-coverage-ratio&ticker=FLO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-coverage-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=interest-coverage-ratio&ticker=FLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();