Levi Strauss (LEVI) Return on Sales [ROS] (2010 - 2026)
Levi Strauss' Return on Sales [ROS] was 13.81% in fiscal Q3 2026 (quarter ended Aug 30, 2026), up 2.96 percentage points from 10.85% a year earlier and up 5.99 percentage points from the prior quarter.
Levi Strauss (LEVI) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Levi Strauss' Return on Sales [ROS] was 11.28% through Aug 30, 2026, up 0.50 percentage points year-over-year; for FY2025 (ended Nov 30, 2025), it came in at 10.79%, up 6.43 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of +12.70 percentage points (FY2020 to FY2025).
- In earlier fiscal years, Return on Sales [ROS] was 4.36% in FY2024 (-1.71 pp), 6.07% in FY2023 (-4.41 pp), 10.48% in FY2022 (-1.42 pp) and 11.91% in FY2021 (+13.82 pp).
- The fiscal Q3 2026 figure marks the highest quarterly Return on Sales [ROS] since fiscal Q1 2022.
- Compared with a year earlier, Return on Sales [ROS] was higher in seven of the last eight quarters, with an average year-over-year change of +3.68 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was fiscal Q1 2025 (a gain of 12.51 percentage points); the worst was fiscal Q3 2023 (a drop of 10.82 percentage points).
- Per Business Quant data, LEVI's Return on Sales [ROS] in the three fiscal quarters before Q3 2026 was 7.82% (Q2 2026), 11.40% (Q1 2026) and 11.93% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 56.89 Bn | 23.09 Bn | 4.80 Bn | 7.92% |
| 2 | Ralph Lauren | 22.95 Bn | 15.05 Bn | 1.44 Bn | 17.47% |
| 3 | Tapestry | 22.81 Bn | 18.77 Bn | 1.56 Bn | 23.57% |
| 4 | Deckers Outdoor | 12.13 Bn | 5.00 Bn | - | - |
| 5 | Lululemon Athletica | 11.09 Bn | 5.34 Bn | 1.46 Bn | 18.78% |
| 6 | Levi Strauss | 8.25 Bn | 4.84 Bn | 1.07 Bn | 13.81% |
| 7 | Gildan Activewear | 7.59 Bn | 6.51 Bn | 459.76 Mn | 11.12% |
| 8 | V F | 6.87 Bn | 3.49 Bn | 917.04 Mn | -4.98% |
| 9 | Birkenstock Holding | 6.20 Bn | 4.52 Bn | 493.89 Mn | 28.22% |
| 10 | Crocs | 5.82 Bn | 5.23 Bn | 700.71 Mn | 24.22% |
Historic Data
| Date | Value |
|---|---|
| Aug 30, 2026 | 13.81% |
| May 31, 2026 | 7.82% |
| Mar 1, 2026 | 11.40% |
| Nov 30, 2025 | 11.93% |
| Aug 31, 2025 | 10.85% |
| Jun 1, 2025 | 7.47% |
| Mar 2, 2025 | 12.55% |
| Dec 1, 2024 | 11.91% |
| Aug 25, 2024 | 2.27% |
| May 26, 2024 | 1.54% |
| Feb 25, 2024 | 0.04% |
| Nov 26, 2023 | 11.67% |
| Aug 27, 2023 | 2.30% |
| May 28, 2023 | 0.74% |
| Feb 26, 2023 | 9.32% |
| Nov 27, 2022 | 8.62% |
| Aug 28, 2022 | 13.12% |
| May 29, 2022 | 5.18% |
| Feb 27, 2022 | 14.71% |
| Nov 28, 2021 | 11.06% |
Levi Strauss 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=LEVI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "LEVI", "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=LEVI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();