Limoneira (LMNR) Return on Sales [ROS] (2010 - 2026)
Limoneira's Return on Sales [ROS] was -6.76% in fiscal Q3 2026 (quarter ended Jul 31, 2026), down 5.43 percentage points from -1.33% a year earlier but up 83.91 percentage points from the prior quarter.
Limoneira (LMNR) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Limoneira's Return on Sales [ROS] was -35.95% through Jul 31, 2026, down 28.44 percentage points year-over-year; for FY2025 (ended Oct 31, 2025), it came in at -12.78%, down 9.55 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of -1.22 percentage points (FY2020 to FY2025).
- In earlier fiscal years, Return on Sales [ROS] was -3.23% in FY2024 (-9.22 pp), 5.99% in FY2023 (+4.80 pp), 1.19% in FY2022 (+5.01 pp) and -3.81% in FY2021 (+7.74 pp).
- Quarterly Return on Sales [ROS] has moved between -90.67% (fiscal Q2 2026) and 68.29% (fiscal Q1 2023) over five years.
- Compared with a year earlier, Return on Sales [ROS] has declined for five straight quarters, with an average year-over-year change of -17.76 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 92.63 percentage points); the worst was fiscal Q1 2024 (a drop of 87.79 percentage points).
- Per Business Quant data, LMNR's Return on Sales [ROS] in the three fiscal quarters before Q3 2026 was -90.67% (Q2 2026), -57.96% (Q1 2026) and -25.88% (Q4 2025).
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 | Limoneira | 217.40 Mn | 235.80 Mn | 6.56 Mn | -6.76% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | -6.76% |
| Apr 30, 2026 | -90.67% |
| Jan 31, 2026 | -57.96% |
| Oct 31, 2025 | -25.88% |
| Jul 31, 2025 | -1.33% |
| Apr 30, 2025 | -9.52% |
| Jan 31, 2025 | -15.58% |
| Oct 31, 2024 | -6.27% |
| Jul 31, 2024 | 14.21% |
| Apr 30, 2024 | -10.48% |
| Jan 31, 2024 | -19.49% |
| Oct 31, 2023 | -23.39% |
| Jul 31, 2023 | -2.95% |
| Apr 30, 2023 | -8.03% |
| Jan 31, 2023 | 68.29% |
| Oct 31, 2022 | -4.76% |
| Jul 31, 2022 | 18.77% |
| Apr 30, 2022 | 5.53% |
| Jan 31, 2022 | -24.34% |
| Oct 31, 2021 | -19.26% |
Limoneira 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=LMNR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "LMNR", "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=LMNR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();