Flowers Foods (FLO) Net Margin (2009 - 2026)
Flowers Foods (FLO) posted Net Margin of 3.41% for Q2 2027, down 1.29 percentage points from 4.70% a year earlier.
Flowers Foods (FLO) Net Margin (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jul 18, 2026, Net Margin at Flowers Foods was 1.46%, down 2.84 percentage points year-over-year; for FY2026, it came in at 1.59%.
- Annual Net Margin shows a five-year change of -3.17 percentage points (FY2021 to FY2026).
- In prior years, Flowers Foods' Net Margin was 4.86% in FY2024 (+2.44 pp), 2.42% in FY2023 (-2.33 pp) and 4.75% in FY2022 (-0.01 pp).
- Quarterly Net Margin has run from a low of -5.44% in Q4 2026 to a high of 4.70% in Q2 2026 over five years.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 133.59 Bn | 108.95 Bn | - | - |
| 2 | Mondelez International | 75.71 Bn | 69.03 Bn | 3.99 Bn | 16.55% |
| 3 | Hershey | 32.64 Bn | 28.88 Bn | 1.26 Bn | 16.42% |
| 4 | Kraft Heinz | 27.82 Bn | 14.35 Bn | 2.03 Bn | -87.19% |
| 5 | General Mills | 18.09 Bn | 15.75 Bn | 1.49 Bn | 9.04% |
| 6 | Mccormick | 13.03 Bn | 12.90 Bn | 778.20 Mn | 7.75% |
| 7 | J M Smucker | 12.89 Bn | 12.68 Bn | 979.60 Mn | 14.61% |
| 8 | Hormel Foods | 10.92 Bn | 7.61 Bn | 471.52 Mn | 2.01% |
| 9 | Chewy | 7.33 Bn | 4.62 Bn | 1.01 Bn | 2.42% |
| 10 | Flowers Foods | 1.21 Bn | 1.11 Bn | 577.93 Mn | 3.41% |
Historic Data
| Date | Value |
|---|---|
| Jul 18, 2026 | 3.41% |
| Jan 3, 2026 | -5.44% |
| Oct 4, 2025 | 3.22% |
| Jul 12, 2025 | 4.70% |
| Apr 19, 2025 | 3.41% |
| Dec 28, 2024 | 3.88% |
| Oct 5, 2024 | 5.46% |
| Jul 13, 2024 | 5.47% |
| Apr 20, 2024 | 4.63% |
| Dec 30, 2023 | 3.16% |
| Oct 7, 2023 | -3.90% |
| Jul 15, 2023 | 5.19% |
| Apr 22, 2023 | 4.61% |
| Dec 31, 2022 | 4.49% |
| Oct 8, 2022 | 3.50% |
| Jul 16, 2022 | 4.75% |
| Apr 23, 2022 | 5.96% |
| Jan 1, 2022 | 4.07% |
| Oct 9, 2021 | 3.78% |
| Jul 17, 2021 | 5.54% |
Flowers Foods Net Margin 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=net-margin&ticker=FLO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "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=net-margin&ticker=FLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();