Flowers Foods (FLO) EBITDA Margin (2009 - 2026)
Flowers Foods (FLO) recorded EBITDA Margin of 8.94% in Q2 2027, down 1.78 percentage points from 10.72% a year earlier.
Flowers Foods (FLO) EBITDA Margin (2009 - 2026) Analysis & Trends
On a TTM basis, Flowers Foods' EBITDA Margin came in at 6.41% as of Jul 18, 2026, down 3.27 percentage points year-over-year; for FY2026, it was 6.49%.
- Annual EBITDA Margin has a five-year change of -3.47 percentage points (FY2021 to FY2026).
- Across earlier years, EBITDA Margin came in at 9.94% in FY2024 (+3.57 pp), 6.38% in FY2023 (-2.89 pp) and 9.26% in FY2022 (-0.70 pp).
- Quarterly EBITDA Margin has ranged from -2.65% in Q4 2026 to 10.72% in Q2 2026 over the past five years.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 144.95 Bn | 98.82 Bn | - | - |
| 2 | Mondelez International | 84.23 Bn | 77.29 Bn | 3.92 Bn | 21.12% |
| 3 | Hershey | 34.99 Bn | 31.72 Bn | 1.51 Bn | 29.12% |
| 4 | Kraft Heinz | 28.72 Bn | 16.47 Bn | 1.99 Bn | 18.59% |
| 5 | General Mills | 18.50 Bn | 16.16 Bn | 1.49 Bn | 17.62% |
| 6 | J M Smucker | 14.27 Bn | 14.05 Bn | 979.60 Mn | 28.80% |
| 7 | Mccormick | 12.58 Bn | 12.23 Bn | 794.90 Mn | 14.50% |
| 8 | Hormel Foods | 12.22 Bn | 8.90 Bn | 471.52 Mn | 5.99% |
| 9 | Chewy | 9.17 Bn | 6.46 Bn | 1.01 Bn | 3.95% |
| 10 | Flowers Foods | 1.37 Bn | 1.28 Bn | 577.93 Mn | 8.95% |
Historic Data
| Date | Value |
|---|---|
| Jul 18, 2026 | 8.95% |
| Oct 4, 2025 | 8.68% |
| Jul 12, 2025 | 10.72% |
| Apr 19, 2025 | 8.65% |
| Dec 28, 2024 | 8.84% |
| Oct 5, 2024 | 10.73% |
| Jul 13, 2024 | 10.79% |
| Apr 20, 2024 | 9.50% |
| Dec 30, 2023 | 7.70% |
| Oct 7, 2023 | -1.95% |
| Jul 15, 2023 | 10.06% |
| Apr 22, 2023 | 8.96% |
| Oct 8, 2022 | 7.63% |
| Jul 16, 2022 | 9.27% |
| Apr 23, 2022 | 10.82% |
| Dec 31, 2021 | 9.96% |
| Oct 9, 2021 | 8.15% |
| Jul 17, 2021 | 10.37% |
| Apr 24, 2021 | 12.02% |
| Dec 31, 2020 | 10.55% |
Flowers Foods EBITDA Margin 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=ebitda-margin&ticker=FLO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=FLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();