Laird Superfood (LSF) Return on Sales [ROS] (2019 - 2026)
Laird Superfood's Return on Sales [ROS] came in at -4.51% for Q2 2026, down 1.18 percentage points from -3.33% a year earlier.
Powered by 
Analysis
Laird Superfood (LSF) Return on Sales [ROS] (2019 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Laird Superfood reported Return on Sales [ROS] of -6.36%, down 3.46 percentage points year-over-year; for FY2025, it came in at -6.84%, down 1.82 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of +43.30 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was -5.02% in FY2024 (+26.24 pp), -31.26% in FY2023 (+81.40 pp), -112.66% in FY2022 (-47.59 pp) and -65.07% in FY2021 (-14.92 pp).
- The five-year range for quarterly Return on Sales [ROS] is -174.64% (Q4 2022) to 0.50% (Q4 2023).
- Year-over-year, Return on Sales [ROS] increased in three of the last seven quarters, with an average year-over-year change of +2.38 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q4 2023 (a gain of 175.15 percentage points), and the weakest in Q4 2022 (a drop of 99.72 percentage points).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 416.85 Bn | 405.33 Bn | 8.45 Bn | 33.37% |
| 2 | Diageo | 246.91 Bn | 229.06 Bn | - | - |
| 3 | Coca Cola Femsa Sab De Cv | 201.88 Bn | 201.88 Bn | 37.08 Bn | 14.90% |
| 4 | Pepsico | 195.70 Bn | 153.66 Bn | 13.75 Bn | 16.86% |
| 5 | Anheuser-Busch InBev | 154.67 Bn | 154.67 Bn | 27,528.00 | 9,345,775.10% |
| 6 | Monster Beverage | 88.75 Bn | 85.98 Bn | 1.40 Bn | 28.04% |
| 7 | Coca-Cola Europacific Partners | 52.79 Bn | 46.01 Bn | - | - |
| 8 | Keurig Dr Pepper | 51.16 Bn | 50.63 Bn | 3.53 Bn | 18.15% |
| 9 | Ambev | 43.82 Bn | 28.73 Bn | 2.14 Bn | 25.65% |
| 10 | Laird Superfood | 29.10 Mn | -15.22 Mn | 12.52 Mn | -4.51% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -4.51% |
| Mar 31, 2026 | -21.67% |
| Dec 31, 2025 | -13.49% |
| Sep 30, 2025 | -7.72% |
| Jun 30, 2025 | -3.33% |
| Mar 31, 2025 | -1.87% |
| Dec 31, 2024 | -4.11% |
| Sep 30, 2024 | -2.28% |
| Jun 30, 2024 | -3.38% |
| Mar 31, 2024 | -10.99% |
| Dec 31, 2023 | 0.50% |
| Sep 30, 2023 | -30.36% |
| Jun 30, 2023 | -47.33% |
| Mar 31, 2023 | -53.03% |
| Dec 31, 2022 | -174.64% |
| Sep 30, 2022 | -65.78% |
| Jun 30, 2022 | -56.80% |
| Mar 31, 2022 | -149.40% |
| Dec 31, 2021 | -74.92% |
| Sep 30, 2021 | -48.89% |
API Access
Laird Superfood 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=LSF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=LSF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();