Local Bounti Corporation (LOCL) Return on Sales [ROS] (2021 - 2026)
Local Bounti Corporation (LOCL) recorded Return on Sales [ROS] of -100.71% in Q2 2026, up 26.95 percentage points from -127.65% a year earlier and up 3.77 percentage points from the prior quarter.
Local Bounti Corporation (LOCL) Return on Sales [ROS] (2021 - 2026) Analysis & Trends
On a TTM basis, Local Bounti Corporation's Return on Sales [ROS] came in at -114.43% as of Jun 30, 2026, up 35.48 percentage points year-over-year; for FY2025, it came in at -129.49%, up 25.13 percentage points from FY2024.
- Annual Return on Sales [ROS] has increased for five straight years, with a five-year change of +9531.49 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at -154.62% in FY2024 (+269.63 pp), -424.25% in FY2023 (+61.15 pp), -485.40% in FY2022 (+6523.54 pp) and -7008.93% in FY2021 (+2652.04 pp).
- The Q2 2026 figure is the highest quarterly Return on Sales [ROS] in data going back to Q1 2021.
- On a year-over-year basis, Return on Sales [ROS] has increased for five consecutive quarters, with an average year-over-year change of +118.88 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 8279.20 percentage points in Q1 2023, against a drop of 529.25 percentage points in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at -104.48% (Q1 2026), -106.14% (Q4 2025) and -149.35% (Q3 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 | Local Bounti Corporation | 31.40 Mn | 31.40 Mn | 1.05 Mn | -100.71% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -100.71% |
| Mar 31, 2026 | -104.48% |
| Dec 31, 2025 | -106.14% |
| Sep 30, 2025 | -149.35% |
| Jun 30, 2025 | -127.65% |
| Mar 31, 2025 | -135.58% |
| Dec 31, 2024 | -166.57% |
| Sep 30, 2024 | -176.05% |
| Jun 30, 2024 | -146.82% |
| Mar 31, 2024 | -122.86% |
| Dec 31, 2023 | -862.98% |
| Sep 30, 2023 | -279.03% |
| Jun 30, 2023 | -269.78% |
| Mar 31, 2023 | -287.82% |
| Dec 31, 2022 | -333.73% |
| Sep 30, 2022 | -349.85% |
| Jun 30, 2022 | -418.34% |
| Mar 31, 2022 | -8,567.02% |
| Dec 31, 2021 | -8,491.08% |
| Sep 30, 2021 | -3,574.21% |
Local Bounti Corporation 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=LOCL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=LOCL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();