Flowers Foods (FLO) Operating Expenses (2009 - 2026)
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Analysis
Flowers Foods (FLO) Operating Expenses (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 144.95 Bn | 98.82 Bn | - | - |
| 2 | Mondelez International | 84.23 Bn | 77.29 Bn | 3.92 Bn | 2.14 Bn |
| 3 | Hershey | 34.99 Bn | 31.72 Bn | 1.51 Bn | 706.14 Mn |
| 4 | Kraft Heinz | 28.72 Bn | 16.47 Bn | 1.99 Bn | 1.11 Bn |
| 5 | General Mills | 18.50 Bn | 16.16 Bn | 1.49 Bn | 853.60 Mn |
| 6 | J M Smucker | 14.27 Bn | 14.05 Bn | 979.60 Mn | 1.00 Mn |
| 7 | Mccormick | 12.58 Bn | 12.23 Bn | 794.90 Mn | 577.90 Mn |
| 8 | Hormel Foods | 12.22 Bn | 8.90 Bn | 471.52 Mn | 323.50 Mn |
| 9 | Chewy | 9.17 Bn | 6.46 Bn | 1.01 Bn | 919.20 Mn |
| 10 | Flowers Foods | 1.37 Bn | 1.28 Bn | 577.93 Mn | 511.76 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 18, 2026 | 511.76 Mn |
| Oct 4, 2025 | 521.31 Mn |
| Jul 12, 2025 | 513.34 Mn |
| Apr 19, 2025 | 683.33 Mn |
| Dec 28, 2024 | 480.81 Mn |
| Oct 5, 2024 | 497.63 Mn |
| Jul 13, 2024 | 514.97 Mn |
| Apr 20, 2024 | 674.00 Mn |
| Dec 30, 2023 | 448.13 Mn |
| Oct 7, 2023 | 604.13 Mn |
| Jul 15, 2023 | 478.42 Mn |
| Apr 22, 2023 | 596.14 Mn |
| Oct 8, 2022 | 447.36 Mn |
| Jul 16, 2022 | 438.35 Mn |
| Apr 23, 2022 | 554.95 Mn |
| Dec 31, 2021 | 1.72 Bn |
| Oct 9, 2021 | 426.58 Mn |
| Jul 17, 2021 | 407.71 Mn |
| Apr 24, 2021 | 501.97 Mn |
| Dec 31, 2020 | 1.73 Bn |
API Access
Flowers Foods Operating Expenses 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=operating-expenses&ticker=FLO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=FLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();