Cal-Maine Foods (CALM) Return on Sales [ROS] (2010 - 2026)
Cal-Maine Foods' Return on Sales [ROS] was -15.23% in fiscal Q1 2027 (quarter ended Aug 29, 2026), down 42.24 percentage points from 27.01% a year earlier and down 4.58 percentage points from the prior quarter.
Cal-Maine Foods (CALM) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Cal-Maine Foods' Return on Sales [ROS] was 0.74% through Aug 29, 2026, down 35.60 percentage points year-over-year; for FY2026 (ended May 30, 2026), it came in at 12.03%, down 24.03 percentage points from FY2025.
- Return on Sales [ROS] shows a five-year change of +13.97 percentage points (FY2021 to FY2026).
- In earlier fiscal years, Return on Sales [ROS] was 36.05% in FY2025 (+22.62 pp), 13.43% in FY2024 (-17.33 pp), 30.76% in FY2023 (+22.68 pp) and 8.08% in FY2022 (+10.02 pp).
- The fiscal Q1 2027 figure marks the lowest quarterly Return on Sales [ROS] since fiscal Q1 2020.
- Compared with a year earlier, Return on Sales [ROS] has declined for four straight quarters, with an average year-over-year change of -9.53 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was fiscal Q1 2023 (a gain of 37.09 percentage points); the worst was fiscal Q4 2026 (a drop of 50.13 percentage points).
- Per Business Quant data, CALM's Return on Sales [ROS] in the three fiscal quarters before Q1 2027 was -10.64% (Q4 2026), 5.39% (Q3 2026) and 16.10% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.78 Bn | 35.07 Bn | 1.94 Bn | 3.95% |
| 2 | Bunge Global | 20.50 Bn | 18.00 Bn | 1.68 Bn | 4.47% |
| 3 | Tyson Foods | 18.25 Bn | 14.61 Bn | 921.00 Mn | 2.61% |
| 4 | Jbs | 12.94 Bn | -20.17 Bn | 2.59 Bn | 2.50% |
| 5 | Darling Ingredients | 9.93 Bn | 9.53 Bn | 503.37 Mn | 32.20% |
| 6 | Smithfield Foods | 7.43 Bn | 2.38 Bn | 478.00 Mn | 7.84% |
| 7 | Pilgrims Pride | 6.55 Bn | 4.38 Bn | 339.75 Mn | 1.43% |
| 8 | Ingredion | 6.02 Bn | 2.19 Bn | 426.00 Mn | 10.16% |
| 9 | Seaboard | 3.87 Bn | -946.73 Mn | 221.00 Mn | 3.42% |
| 10 | Cal-Maine Foods | 3.11 Bn | 2.14 Bn | 403,000.00 | -15.23% |
Historic Data
| Date | Value |
|---|---|
| Aug 29, 2026 | -15.23% |
| May 30, 2026 | -10.64% |
| Feb 28, 2026 | 5.39% |
| Nov 29, 2025 | 16.10% |
| Aug 30, 2025 | 27.01% |
| May 31, 2025 | 39.49% |
| Mar 1, 2025 | 44.84% |
| Nov 30, 2024 | 29.13% |
| Aug 31, 2024 | 23.79% |
| Jun 1, 2024 | 22.19% |
| Mar 2, 2024 | 23.15% |
| Dec 2, 2023 | 2.72% |
| Sep 2, 2023 | -1.47% |
| Jun 3, 2023 | 19.78% |
| Feb 25, 2023 | 40.88% |
| Nov 26, 2022 | 32.41% |
| Aug 27, 2022 | 24.89% |
| May 28, 2022 | 24.57% |
| Feb 26, 2022 | 8.29% |
| Nov 27, 2021 | -0.54% |
Cal-Maine 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=CALM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "CALM", "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=CALM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();