Flowers Foods (FLO) EV to EBIT (2010 - 2026)
Flowers Foods' EV to EBIT was 11.13 in Q2 2027, up 10.7% from 10.06 a year earlier.
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Analysis
Flowers Foods (FLO) EV to EBIT (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Flowers Foods' EV to EBIT was 10.88 through Jul 18, 2026, up 9.1% year-over-year; for FY2026, it was 13.05.
- In earlier years, EV to EBIT was 12.38 in FY2024 (-54.6%), 27.29 in FY2023 (+40.1%) and 19.48 in FY2022 (+2.1%).
- Quarterly EV to EBIT has moved between 9.02 (Q3 2026) and 16.77 (Q3 2022) over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 5 | General Mills | 18.09 Bn | 15.75 Bn | 1.49 Bn |
| 6 | Mccormick | 13.03 Bn | 12.90 Bn | 778.20 Mn |
| 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 |
| 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 |
|---|---|
| Jul 18, 2026 | 11.13 |
| Jan 3, 2026 | 13.05 |
| Oct 4, 2025 | 9.02 |
| Jul 12, 2025 | 10.06 |
| Apr 19, 2025 | 11.59 |
| Dec 28, 2024 | 12.38 |
| Oct 5, 2024 | 13.96 |
| Jul 13, 2024 | 24.08 |
| Apr 20, 2024 | 28.64 |
| Dec 30, 2023 | 27.29 |
| Oct 7, 2023 | 24.13 |
| Jul 15, 2023 | 16.89 |
| Apr 22, 2023 | 20.09 |
| Dec 31, 2022 | 19.48 |
| Oct 8, 2022 | 17.28 |
| Jul 16, 2022 | 19.43 |
| Apr 23, 2022 | 19.39 |
| Jan 1, 2022 | 19.26 |
| Oct 9, 2021 | 16.77 |
| Jul 17, 2021 | 15.13 |
API Access
Flowers Foods EV to EBIT 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=ev-to-ebit&ticker=FLO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebit", "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=ev-to-ebit&ticker=FLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();