Flowers Foods (FLO) Enterprise Value (2009 - 2026)
Flowers Foods (FLO) reported Enterprise Value of $1.75 billion for Q2 2027, down 47.3% from $3.32 billion a year earlier.
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Analysis
Flowers Foods (FLO) Enterprise Value (2009 - 2026) Analysis & Trends
Over the twelve months ended Jul 18, 2026, Flowers Foods' Enterprise Value came in at $1.71 billion, down 48.1% year-over-year; for FY2026, it was $2.27 billion.
- Enterprise Value has a five-year compound annual growth rate of -16.6% (FY2021 to FY2026).
- By year, Enterprise Value came in at $4.31 billion in FY2024 (-8.6%), $4.72 billion in FY2023 (-20.1%) and $5.91 billion in FY2022 (+5.0%).
- The Q2 2027 figure ranks as the lowest quarterly Enterprise Value in data going back to Q2 2010.
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 | 1.75 Bn |
| Jan 3, 2026 | 2.27 Bn |
| Oct 4, 2025 | 2.76 Bn |
| Jul 12, 2025 | 3.32 Bn |
| Apr 19, 2025 | 3.85 Bn |
| Dec 28, 2024 | 4.31 Bn |
| Oct 5, 2024 | 4.70 Bn |
| Jul 13, 2024 | 4.51 Bn |
| Apr 20, 2024 | 5.17 Bn |
| Dec 30, 2023 | 4.72 Bn |
| Oct 7, 2023 | 4.51 Bn |
| Jul 15, 2023 | 5.10 Bn |
| Apr 22, 2023 | 5.73 Bn |
| Dec 31, 2022 | 5.91 Bn |
| Oct 8, 2022 | 5.01 Bn |
| Jul 16, 2022 | 5.57 Bn |
| Apr 23, 2022 | 5.60 Bn |
| Jan 1, 2022 | 5.63 Bn |
| Oct 9, 2021 | 4.93 Bn |
| Jul 17, 2021 | 4.86 Bn |
API Access
Flowers Foods Enterprise Value 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=enterprise-value&ticker=FLO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=FLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();