Levi Strauss (LEVI) EBITDA (2010 - 2026)
Levi Strauss' EBITDA came in at $277.1 million for fiscal Q3 2026 (quarter ended Aug 30, 2026), up 26.4% from $219.2 million a year earlier and up 54.5% from the prior quarter.
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Analysis
Levi Strauss (LEVI) EBITDA (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 30, 2026, Levi Strauss reported EBITDA of $976.3 million, up 10.8% year-over-year; for FY2025 (ended Nov 30, 2025), it came in at $883.9 million, up 93.9% from FY2024.
- EBITDA carries a five-year compound annual growth rate of 73.2% (FY2020 to FY2025).
- Going back by fiscal year, EBITDA was $455.9 million in FY2024 (-12.3%), $519.7 million in FY2023 (-35.5%), $805.4 million in FY2022 (-2.9%) and $829.4 million in FY2021.
- The fiscal Q3 2026 figure represents the highest quarterly EBITDA in data going back to fiscal Q4 2010.
- Year-over-year, EBITDA has increased for ten consecutive quarters, with growth averaging 102.7% over the last eight quarters.
- The fastest year-over-year change in EBITDA over five years came in fiscal Q1 2025 (growth of 432.7%), and the weakest in fiscal Q1 2024 (a decline of 77.1%).
- Business Quant data shows LEVI's EBITDA at $179.4 million (Q2 2026), $254.3 million (Q1 2026) and $265.5 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 56.18 Bn | 22.38 Bn | 4.80 Bn | 1.08 Bn |
| 2 | Tapestry | 23.99 Bn | 19.95 Bn | 1.56 Bn | 500.90 Mn |
| 3 | Ralph Lauren | 22.76 Bn | 14.85 Bn | 1.44 Bn | 401.30 Mn |
| 4 | Deckers Outdoor | 12.61 Bn | 5.48 Bn | - | - |
| 5 | Lululemon Athletica | 11.29 Bn | 5.54 Bn | 1.46 Bn | 595.99 Mn |
| 6 | Levi Strauss | 8.02 Bn | 4.60 Bn | 1.07 Bn | 277.10 Mn |
| 7 | V F | 6.86 Bn | 3.48 Bn | 917.04 Mn | -25.29 Mn |
| 8 | Gildan Activewear | 6.55 Bn | 5.47 Bn | 459.76 Mn | 244.22 Mn |
| 9 | Birkenstock Holding | 6.11 Bn | 4.43 Bn | 493.89 Mn | 326.23 Mn |
| 10 | Crocs | 5.97 Bn | 5.38 Bn | 700.71 Mn | 305.72 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 30, 2026 | 277.10 Mn |
| May 31, 2026 | 179.40 Mn |
| Mar 1, 2026 | 254.30 Mn |
| Nov 30, 2025 | 265.50 Mn |
| Aug 31, 2025 | 219.20 Mn |
| Jun 1, 2025 | 158.40 Mn |
| Mar 2, 2025 | 240.80 Mn |
| Dec 1, 2024 | 262.90 Mn |
| Aug 25, 2024 | 82.80 Mn |
| May 26, 2024 | 65.00 Mn |
| Feb 25, 2024 | 45.20 Mn |
| Nov 26, 2023 | 195.40 Mn |
| Aug 27, 2023 | 77.60 Mn |
| May 28, 2023 | 49.70 Mn |
| Feb 26, 2023 | 197.00 Mn |
| Nov 27, 2022 | 178.00 Mn |
| Aug 28, 2022 | 239.30 Mn |
| May 29, 2022 | 115.00 Mn |
| Feb 27, 2022 | 273.10 Mn |
| Nov 28, 2021 | 223.94 Mn |
API Access
Levi Strauss EBITDA 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=ebitda&ticker=LEVI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=LEVI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();