Limoneira (LMNR) Return on Capital Employed [ROCE] (2010 - 2026)
Limoneira (LMNR) recorded Return on Capital Employed [ROCE] of -17.11% in fiscal Q3 2026 (quarter ended Jul 31, 2026), down 12.68 percentage points from -4.43% a year earlier and down 1.18 percentage points from the prior quarter.
Limoneira (LMNR) Return on Capital Employed [ROCE] (2010 - 2026) Analysis & Trends
For FY2025 (ended Oct 31, 2025), Limoneira reported Return on Capital Employed [ROCE] of -7.42%, down 5.09 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] has a five-year change of -2.19 percentage points (FY2020 to FY2025).
- Across earlier fiscal years, Return on Capital Employed [ROCE] came in at -2.33% in FY2024 (-5.91 pp), 3.58% in FY2023 (+2.93 pp), 0.65% in FY2022 (+2.43 pp) and -1.78% in FY2021 (+3.45 pp).
- The fiscal Q3 2026 figure is the lowest quarterly Return on Capital Employed [ROCE] in data going back to fiscal Q1 2013.
- On a year-over-year basis, Return on Capital Employed [ROCE] has declined for four consecutive quarters, with an average year-over-year change of -3.93 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Capital Employed [ROCE] in the last five years was a gain of 15.16 percentage points in fiscal Q1 2023, against a drop of 20.78 percentage points in fiscal Q1 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at -15.93% (Q2 2026), -8.92% (Q1 2026) and -7.41% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 32.98 Bn | 29.75 Bn | 1.89 Bn | 6.91% |
| 2 | Tyson Foods | 21.20 Bn | 17.56 Bn | 921.00 Mn | 4.37% |
| 3 | Bunge Global | 19.10 Bn | 17.51 Bn | 1.33 Bn | 8.38% |
| 4 | Jbs | 13.72 Bn | -1.87 Bn | 2.41 Bn | 7.39% |
| 5 | Darling Ingredients | 7.99 Bn | 7.57 Bn | 477.54 Mn | 12.49% |
| 6 | Smithfield Foods | 7.58 Bn | 2.40 Bn | 313.00 Mn | 11.56% |
| 7 | Pilgrims Pride | 6.72 Bn | 4.22 Bn | 333.67 Mn | 8.22% |
| 8 | Ingredion | 5.73 Bn | 1.83 Bn | 399.00 Mn | 12.84% |
| 9 | Scotts Miracle-Gro | 3.79 Bn | 3.79 Bn | - | - |
| 10 | Limoneira | 188.57 Mn | 201.09 Mn | 6.56 Mn | -17.11% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | -17.11% |
| Apr 30, 2026 | -15.93% |
| Jan 31, 2026 | -8.92% |
| Oct 31, 2025 | -7.41% |
| Jul 31, 2025 | -4.43% |
| Apr 30, 2025 | -0.91% |
| Jan 31, 2025 | -1.38% |
| Oct 31, 2024 | -2.30% |
| Jul 31, 2024 | -4.74% |
| Apr 30, 2024 | -8.65% |
| Jan 31, 2024 | -8.48% |
| Oct 31, 2023 | 3.94% |
| Jul 31, 2023 | 6.70% |
| Apr 30, 2023 | 11.13% |
| Jan 31, 2023 | 12.30% |
| Oct 31, 2022 | 0.64% |
| Jul 31, 2022 | -0.67% |
| Apr 30, 2022 | -2.83% |
| Jan 31, 2022 | -2.86% |
| Oct 31, 2021 | -1.78% |
Limoneira Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=LMNR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=LMNR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();