Flowers Foods (FLO) Times Interest Earned (2009 - 2026)
Flowers Foods' Times Interest Earned came in at 3.82 for Q2 2027, down 22.9% from 4.95 a year earlier.
Flowers Foods (FLO) Times Interest Earned (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 18, 2026, Flowers Foods reported Times Interest Earned of 2.10, down 64.8% year-over-year; for FY2026, it came in at 2.27.
- Going back by year, Times Interest Earned was 9.38 in FY2024 (+98.7%), 4.72 in FY2023 (-55.0%) and 10.48 in FY2022 (+12.1%).
- The five-year range for quarterly Times Interest Earned is -3.57 (Q4 2026) to 7.81 (Q3 2022).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Times Interest Earned (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - | - |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn | - |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn | - |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn | -207.45 |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn | - |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn | - |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn | 4.41 |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | 5.65 |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn | - |
| 10 | Flowers Foods | 1.18 Bn | 1.08 Bn | 577.93 Mn | 3.82 |
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 |
Flowers Foods Times Interest Earned 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=times-interest-earned&ticker=FLO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "times-interest-earned", "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=times-interest-earned&ticker=FLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();