Flowers Foods (FLO) EV to EBITDA (2010 - 2026)
Flowers Foods' EV to EBITDA was 5.57 in Q2 2027, down 17.2% from 6.73 a year earlier.
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Analysis
Flowers Foods (FLO) EV to EBITDA (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Flowers Foods' EV to EBITDA was 5.44 through Jul 18, 2026, down 18.4% year-over-year; for FY2026, it came in at 6.65.
- In earlier years, EV to EBITDA was 8.49 in FY2024 (-41.6%), 14.53 in FY2023 (+9.5%) and 13.27 in FY2022 (+1.8%).
- The Q2 2027 figure marks the lowest quarterly EV to EBITDA in data going back to Q2 2011.
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 | 5.57 |
| Jan 3, 2026 | 6.65 |
| Oct 4, 2025 | 5.85 |
| Jul 12, 2025 | 6.73 |
| Apr 19, 2025 | 7.82 |
| Dec 28, 2024 | 8.49 |
| Oct 5, 2024 | 9.48 |
| Jul 13, 2024 | 13.06 |
| Apr 20, 2024 | 15.36 |
| Dec 30, 2023 | 14.53 |
| Oct 7, 2023 | 13.50 |
| Jul 15, 2023 | 11.43 |
| Apr 22, 2023 | 13.40 |
| Dec 31, 2022 | 13.27 |
| Oct 8, 2022 | 11.77 |
| Jul 16, 2022 | 13.22 |
| Apr 23, 2022 | 13.27 |
| Jan 1, 2022 | 13.29 |
| Oct 9, 2021 | 11.45 |
| Jul 17, 2021 | 10.58 |
API Access
Flowers Foods EV to EBITDA 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-ebitda&ticker=FLO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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-ebitda&ticker=FLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();