Flowers Foods (FLO) Return on Sales [ROS] (2009 - 2026)
Flowers Foods' Return on Sales [ROS] came in at 5.71% for Q2 2027, down 1.81 percentage points from 7.52% a year earlier.
Flowers Foods (FLO) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 18, 2026, Flowers Foods reported Return on Sales [ROS] of 3.21%, down 3.27 percentage points year-over-year; for FY2026, it was 3.31%.
- Return on Sales [ROS] carries a five-year change of -3.50 percentage points (FY2021 to FY2026).
- Going back by year, Return on Sales [ROS] was 6.82% in FY2024 (+3.43 pp), 3.40% in FY2023 (-2.91 pp) and 6.31% in FY2022 (-0.50 pp).
- The five-year range for quarterly Return on Sales [ROS] is -5.77% (Q4 2026) to 7.52% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 129.94 Bn | 105.31 Bn | - | - |
| 2 | Mondelez International | 73.72 Bn | 67.04 Bn | 3.99 Bn | 20.80% |
| 3 | Hershey | 32.21 Bn | 28.45 Bn | 1.26 Bn | 23.06% |
| 4 | Kraft Heinz | 26.65 Bn | 13.18 Bn | 2.03 Bn | -102.70% |
| 5 | General Mills | 16.93 Bn | 14.59 Bn | 1.49 Bn | 14.43% |
| 6 | J M Smucker | 12.38 Bn | 12.16 Bn | 979.60 Mn | 23.05% |
| 7 | Mccormick | 11.89 Bn | 11.54 Bn | 794.90 Mn | 10.72% |
| 8 | Hormel Foods | 11.00 Bn | 7.68 Bn | 471.52 Mn | 3.75% |
| 9 | Chewy | 7.12 Bn | 4.40 Bn | 1.01 Bn | 2.76% |
| 10 | Flowers Foods | 1.18 Bn | 1.09 Bn | 577.93 Mn | 5.71% |
Historic Data
| Date | Value |
|---|---|
| Jul 18, 2026 | 5.71% |
| Jan 3, 2026 | -5.77% |
| Oct 4, 2025 | 5.42% |
| Jul 12, 2025 | 7.52% |
| Apr 19, 2025 | 5.48% |
| Dec 28, 2024 | 5.52% |
| Oct 5, 2024 | 7.57% |
| Jul 13, 2024 | 7.77% |
| Apr 20, 2024 | 6.44% |
| Dec 30, 2023 | 4.42% |
| Oct 7, 2023 | -4.95% |
| Jul 15, 2023 | 7.21% |
| Apr 22, 2023 | 6.11% |
| Dec 31, 2022 | 5.92% |
| Oct 8, 2022 | 4.79% |
| Jul 16, 2022 | 6.35% |
| Apr 23, 2022 | 7.80% |
| Jan 1, 2022 | 5.26% |
| Oct 9, 2021 | 5.07% |
| Jul 17, 2021 | 7.27% |
Flowers Foods Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=FLO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=FLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();