Local Bounti Corporation (LOCL) Return on Capital Employed [ROCE] (2021 - 2026)
Local Bounti Corporation (LOCL) recorded Return on Capital Employed [ROCE] of -15.34% in Q2 2026, up 0.46 percentage points from -15.80% a year earlier and up 0.11 percentage points from the prior quarter.
Local Bounti Corporation (LOCL) Return on Capital Employed [ROCE] (2021 - 2026) Analysis & Trends
For FY2025, Local Bounti Corporation reported Return on Capital Employed [ROCE] of -15.54%, up 1.33 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] has increased for four straight years, with a four-year change of +60.83 percentage points (FY2021 to FY2025).
- Across earlier years, Return on Capital Employed [ROCE] came in at -16.87% in FY2024 (+22.32 pp), -39.19% in FY2023 (+11.07 pp), -50.26% in FY2022 (+26.12 pp) and -76.38% in FY2021.
- The Q2 2026 figure is the highest quarterly Return on Capital Employed [ROCE] in data going back to Q4 2021.
- On a year-over-year basis, Return on Capital Employed [ROCE] rose in six of the last eight quarters, with an average year-over-year change of +6.28 percentage points.
- Peak year-over-year performance for Return on Capital Employed [ROCE] in the last five years was a gain of 17.86 percentage points in Q4 2024, against a drop of 14.95 percentage points in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at -15.45% (Q1 2026), -15.74% (Q4 2025) and -16.22% (Q3 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 | Local Bounti Corporation | 22.68 Mn | -3.64 Mn | 1.05 Mn | -15.34% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -15.34% |
| Mar 31, 2026 | -15.45% |
| Dec 31, 2025 | -15.74% |
| Sep 30, 2025 | -16.22% |
| Jun 30, 2025 | -15.80% |
| Mar 31, 2025 | -15.42% |
| Dec 31, 2024 | -15.77% |
| Sep 30, 2024 | -26.60% |
| Jun 30, 2024 | -26.79% |
| Mar 31, 2024 | -29.54% |
| Dec 31, 2023 | -33.63% |
| Sep 30, 2023 | -23.07% |
| Jun 30, 2023 | -27.16% |
| Mar 31, 2023 | -34.92% |
| Dec 31, 2022 | -38.24% |
| Sep 30, 2022 | -39.87% |
| Jun 30, 2022 | -44.50% |
| Mar 31, 2022 | -49.76% |
| Dec 31, 2021 | -23.29% |
Local Bounti Corporation 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=LOCL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "LOCL", "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=LOCL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();