Flowers Foods (FLO) Price to Earnings (2010 - 2026)
Flowers Foods' (FLO) Price to Earnings came in at 25.19 for Q2 2027, up 66.0% from 15.17 a year earlier.
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Analysis
Flowers Foods (FLO) Price to Earnings (2010 - 2026) Analysis & Trends
For FY2026, Flowers Foods' Price to Earnings stood at 27.23.
- In prior years, Flowers Foods' Price to Earnings was 17.40 in FY2024 (-54.7%), 38.41 in FY2023 (+44.5%) and 26.59 in FY2022 (-5.7%).
- Quarterly Price to Earnings has run from a low of 14.32 in Q3 2026 to a high of 27.23 in Q4 2026 over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 129.94 Bn | 105.31 Bn | - |
| 2 | Mondelez International | 73.72 Bn | 67.04 Bn | 3.99 Bn |
| 3 | Hershey | 32.21 Bn | 28.45 Bn | 1.26 Bn |
| 4 | Kraft Heinz | 26.65 Bn | 13.18 Bn | 2.03 Bn |
| 5 | General Mills | 16.93 Bn | 14.59 Bn | 1.49 Bn |
| 6 | J M Smucker | 12.38 Bn | 12.16 Bn | 979.60 Mn |
| 7 | Mccormick | 11.89 Bn | 11.54 Bn | 794.90 Mn |
| 8 | Hormel Foods | 11.00 Bn | 7.68 Bn | 471.52 Mn |
| 9 | Chewy | 7.12 Bn | 4.40 Bn | 1.01 Bn |
| 10 | Flowers Foods | 1.18 Bn | 1.09 Bn | 577.93 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 18, 2026 | 25.19 |
| Jan 3, 2026 | 27.23 |
| Oct 4, 2025 | 14.32 |
| Jul 12, 2025 | 15.17 |
| Apr 19, 2025 | 16.90 |
| Dec 28, 2024 | 17.40 |
| Oct 5, 2024 | 19.60 |
| Jul 13, 2024 | 35.03 |
| Apr 20, 2024 | 41.27 |
| Dec 30, 2023 | 38.41 |
| Oct 7, 2023 | 33.22 |
| Jul 15, 2023 | 22.85 |
| Apr 22, 2023 | 26.95 |
| Dec 31, 2022 | 26.59 |
| Oct 8, 2022 | 23.66 |
| Jul 16, 2022 | 26.36 |
| Apr 23, 2022 | 26.38 |
| Jan 1, 2022 | 28.18 |
| Oct 9, 2021 | 23.53 |
| Jul 17, 2021 | 22.59 |
API Access
Flowers Foods Price to Earnings 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=price-to-earnings&ticker=FLO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=FLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();