Flowers Foods (FLO) Revenue (2009 - 2026)
Analysis
Flowers Foods (FLO) Revenue (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 144.95 Bn | 98.82 Bn | - | 15.16 Bn |
| 2 | Mondelez International | 84.23 Bn | 77.29 Bn | 3.92 Bn | 9.97 Bn |
| 3 | Hershey | 34.99 Bn | 31.72 Bn | 1.51 Bn | 3.28 Bn |
| 4 | Kraft Heinz | 28.72 Bn | 16.47 Bn | 1.99 Bn | 6.12 Bn |
| 5 | General Mills | 18.50 Bn | 16.16 Bn | 1.49 Bn | 4.39 Bn |
| 6 | J M Smucker | 14.27 Bn | 14.05 Bn | 979.60 Mn | 2.22 Bn |
| 7 | Mccormick | 12.58 Bn | 12.23 Bn | 794.90 Mn | 2.02 Bn |
| 8 | Hormel Foods | 12.22 Bn | 8.90 Bn | 471.52 Mn | 2.96 Bn |
| 9 | Chewy | 9.17 Bn | 6.46 Bn | 1.01 Bn | 3.33 Bn |
| 10 | Flowers Foods | 1.37 Bn | 1.28 Bn | 577.93 Mn | 1.19 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 18, 2026 | 1.19 Bn |
| Dec 31, 2025 | 5.26 Bn |
| Oct 4, 2025 | 1.23 Bn |
| Jul 12, 2025 | 1.24 Bn |
| Apr 19, 2025 | 1.55 Bn |
| Dec 28, 2024 | 1.11 Bn |
| Oct 5, 2024 | 1.19 Bn |
| Jul 13, 2024 | 1.22 Bn |
| Apr 20, 2024 | 1.58 Bn |
| Dec 30, 2023 | 1.13 Bn |
| Oct 7, 2023 | 1.20 Bn |
| Jul 15, 2023 | 1.23 Bn |
| Apr 22, 2023 | 1.53 Bn |
| Dec 31, 2022 | 86,000.00 |
| Oct 8, 2022 | 1.16 Bn |
| Jul 16, 2022 | 1.13 Bn |
| Apr 23, 2022 | 1.44 Bn |
| Dec 31, 2021 | 4.33 Bn |
| Oct 9, 2021 | 1.03 Bn |
| Jul 17, 2021 | 1.02 Bn |
API Access
Flowers Foods Revenue 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=revenue&ticker=FLO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=FLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();