Flowers Foods (FLO) EPS (Diluted) (2009 - 2026)
Flowers Foods (FLO) reported EPS (Diluted) of $0.19 for Q2 2027, down 30.5% from $0.28 a year earlier.
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Analysis
Flowers Foods (FLO) EPS (Diluted) (2009 - 2026) Analysis & Trends
Over the twelve months ended Jul 18, 2026, Flowers Foods' EPS (Diluted) came in at $0.34, down 67.5% year-over-year; for FY2026, it came in at $0.40.
- EPS (Diluted) has a five-year compound annual growth rate of -16.4% (FY2021 to FY2026).
- By year, EPS (Diluted) came in at $1.17 in FY2024 (+102.2%), $0.58 in FY2023 (-46.0%) and $1.07 in FY2022 (+10.7%).
- Five-year quarterly EPS (Diluted) spans a low of -$0.32 in Q4 2026 and a high of $0.28 in Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 144.95 Bn | 98.82 Bn | - | - |
| 2 | Mondelez International | 84.23 Bn | 77.29 Bn | 3.92 Bn | 1.02 |
| 3 | Hershey | 34.99 Bn | 31.72 Bn | 1.51 Bn | 2.27 |
| 4 | Kraft Heinz | 28.72 Bn | 16.47 Bn | 1.99 Bn | 0.46 |
| 5 | General Mills | 18.50 Bn | 16.16 Bn | 1.49 Bn | 0.74 |
| 6 | J M Smucker | 14.27 Bn | 14.05 Bn | 979.60 Mn | 3.03 |
| 7 | Mccormick | 12.58 Bn | 12.23 Bn | 794.90 Mn | 0.36 |
| 8 | Hormel Foods | 12.22 Bn | 8.90 Bn | 471.52 Mn | 0.11 |
| 9 | Chewy | 9.17 Bn | 6.46 Bn | 1.01 Bn | 0.20 |
| 10 | Flowers Foods | 1.37 Bn | 1.28 Bn | 577.93 Mn | 0.19 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 18, 2026 | 0.19 |
| Dec 31, 2025 | 0.40 |
| Oct 4, 2025 | 0.19 |
| Jul 12, 2025 | 0.28 |
| Apr 19, 2025 | 0.25 |
| Dec 28, 2024 | 0.20 |
| Oct 5, 2024 | 0.31 |
| Jul 13, 2024 | 0.32 |
| Apr 20, 2024 | 0.34 |
| Dec 30, 2023 | 0.17 |
| Oct 7, 2023 | -0.22 |
| Jul 15, 2023 | 0.30 |
| Apr 22, 2023 | 0.33 |
| Oct 8, 2022 | 0.19 |
| Jul 16, 2022 | 0.25 |
| Apr 23, 2022 | 0.40 |
| Dec 31, 2021 | 0.97 |
| Oct 9, 2021 | 0.18 |
| Jul 17, 2021 | 0.26 |
| Apr 24, 2021 | 0.34 |
API Access
Flowers Foods EPS (Diluted) 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=eps-diluted&ticker=FLO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=FLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();