Levi Strauss (LEVI) Operating Expenses (2010 - 2026)
Levi Strauss (LEVI) recorded Operating Expenses of $843.5 million in fiscal Q3 2026 (quarter ended Aug 30, 2026), up 7.6% from $784.2 million a year earlier but down 1.6% from the prior quarter.
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Analysis
Levi Strauss (LEVI) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Levi Strauss' Operating Expenses came in at $3.44 billion as of Aug 30, 2026, up 7.1% year-over-year; for FY2025 (ended Nov 30, 2025), it was $3.2 billion, down 2.4% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 5.6% (FY2020 to FY2025).
- Across earlier fiscal years, Operating Expenses came in at $3.28 billion in FY2024 (+12.4%), $2.92 billion in FY2023 (+0.9%), $2.89 billion in FY2022 (+8.3%) and $2.67 billion in FY2021 (+9.5%).
- Quarterly Operating Expenses has ranged from $642.4 million in fiscal Q4 2023 to $879.6 million in fiscal Q1 2026 over the past five years.
- On a year-over-year basis, Operating Expenses has increased for three consecutive quarters, with growth averaging 7.3% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 35.8% in fiscal Q4 2024, against a decline of 13.3% in fiscal Q4 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $856.9 million (Q2 2026), $879.6 million (Q1 2026) and $859.7 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 56.18 Bn | 22.38 Bn | 4.80 Bn | 3.91 Bn |
| 2 | Tapestry | 23.99 Bn | 19.95 Bn | 1.56 Bn | 1.12 Bn |
| 3 | Ralph Lauren | 22.76 Bn | 14.85 Bn | 1.44 Bn | 1.10 Bn |
| 4 | Deckers Outdoor | 12.61 Bn | 5.48 Bn | - | - |
| 5 | Lululemon Athletica | 11.29 Bn | 5.54 Bn | 1.46 Bn | 1.01 Bn |
| 6 | Levi Strauss | 8.02 Bn | 4.60 Bn | 1.07 Bn | 843.50 Mn |
| 7 | V F | 6.86 Bn | 3.48 Bn | 917.04 Mn | 1.75 Bn |
| 8 | Gildan Activewear | 6.55 Bn | 5.47 Bn | 459.76 Mn | 283.86 Mn |
| 9 | Birkenstock Holding | 6.11 Bn | 4.43 Bn | 493.89 Mn | 37.80 Mn |
| 10 | Crocs | 5.97 Bn | 5.38 Bn | 700.71 Mn | 415.03 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 30, 2026 | 843.50 Mn |
| May 31, 2026 | 856.90 Mn |
| Mar 1, 2026 | 879.60 Mn |
| Nov 30, 2025 | 859.70 Mn |
| Aug 31, 2025 | 784.20 Mn |
| Jun 1, 2025 | 797.80 Mn |
| Mar 2, 2025 | 756.00 Mn |
| Dec 1, 2024 | 872.50 Mn |
| Aug 25, 2024 | 729.80 Mn |
| May 26, 2024 | 811.50 Mn |
| Feb 25, 2024 | 869.20 Mn |
| Nov 26, 2023 | 642.40 Mn |
| Aug 27, 2023 | 714.50 Mn |
| May 28, 2023 | 774.30 Mn |
| Feb 26, 2023 | 784.90 Mn |
| Nov 27, 2022 | 741.20 Mn |
| Aug 28, 2022 | 663.80 Mn |
| May 29, 2022 | 778.80 Mn |
| Feb 27, 2022 | 709.40 Mn |
| Nov 28, 2021 | 785.18 Mn |
API Access
Levi Strauss Operating Expenses 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=operating-expenses&ticker=LEVI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=LEVI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();