Laird Superfood (LSF) Return on Capital Employed [ROCE] (2020 - 2026)
Laird Superfood (LSF) recorded Return on Capital Employed [ROCE] of -8.29% in Q2 2026, up 1.44 percentage points from -9.74% a year earlier.
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Analysis
Laird Superfood (LSF) Return on Capital Employed [ROCE] (2020 - 2026) Analysis & Trends
For FY2025, Laird Superfood reported Return on Capital Employed [ROCE] of -29.61%, down 12.53 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] has a five-year change of -1.88 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Capital Employed [ROCE] came in at -17.08% in FY2024 (+37.34 pp), -54.42% in FY2023 (+45.27 pp), -99.69% in FY2022 (-65.62 pp) and -34.07% in FY2021 (-6.34 pp).
- The Q2 2026 figure is the highest quarterly Return on Capital Employed [ROCE] in data going back to Q4 2020.
- On a year-over-year basis, Return on Capital Employed [ROCE] rose in five of the last seven quarters, with an average year-over-year change of +40.44 percentage points.
- Peak year-over-year performance for Return on Capital Employed [ROCE] in the last five years was a gain of 169.58 percentage points in Q3 2024, against a drop of 110.64 percentage points in Q3 2023 at the low end.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 416.85 Bn | 405.33 Bn | 8.45 Bn | 18.32% |
| 2 | Diageo | 246.91 Bn | 229.06 Bn | - | - |
| 3 | Coca Cola Femsa Sab De Cv | 201.88 Bn | 201.88 Bn | 37.08 Bn | - |
| 4 | Pepsico | 195.70 Bn | 153.66 Bn | 13.75 Bn | 19.41% |
| 5 | Anheuser-Busch InBev | 154.67 Bn | 154.67 Bn | 27,528.00 | - |
| 6 | Monster Beverage | 88.75 Bn | 85.98 Bn | 1.40 Bn | 27.70% |
| 7 | Coca-Cola Europacific Partners | 52.79 Bn | 46.01 Bn | - | - |
| 8 | Keurig Dr Pepper | 51.16 Bn | 50.63 Bn | 3.53 Bn | 5.24% |
| 9 | Ambev | 43.82 Bn | 28.73 Bn | 2.14 Bn | 23.26% |
| 10 | Laird Superfood | 29.10 Mn | -15.22 Mn | 12.52 Mn | -8.65% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -8.65% |
| Mar 31, 2026 | -17.61% |
| Dec 31, 2025 | -30.13% |
| Sep 30, 2025 | -15.30% |
| Jun 30, 2025 | -9.74% |
| Mar 31, 2025 | -10.56% |
| Dec 31, 2024 | -16.61% |
| Sep 30, 2024 | -12.83% |
| Jun 30, 2024 | -33.10% |
| Mar 31, 2024 | -57.22% |
| Dec 31, 2023 | -74.62% |
| Sep 30, 2023 | -182.41% |
| Jun 30, 2023 | -171.37% |
| Mar 31, 2023 | -143.63% |
| Dec 31, 2022 | -128.76% |
| Sep 30, 2022 | -71.77% |
| Jun 30, 2022 | -62.40% |
| Mar 31, 2022 | -57.66% |
| Dec 31, 2021 | -36.95% |
| Sep 30, 2021 | -30.64% |
API Access
Laird Superfood 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=LSF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "LSF", "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=LSF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();