Levi Strauss (LEVI) Shares Outstanding (2017 - 2026)
Levi Strauss (LEVI) reported Shares Outstanding of 385.98 million for fiscal Q2 2026 (quarter ended May 31, 2026), down 2.6% from 396.41 million a year earlier and down 1.0% from the prior quarter.
Levi Strauss (LEVI) Shares Outstanding (2017 - 2026) Analysis & Trends
For FY2025 (ended Nov 30, 2025), Levi Strauss posted Shares Outstanding of 395.52 million, down 0.7% from FY2024.
- Shares Outstanding has a five-year compound annual growth rate of -0.1% (FY2020 to FY2025).
- By fiscal year, Shares Outstanding came in at 398.23 million in FY2024 (+0.3%), 397.21 million in FY2023 (unchanged), 397.34 million in FY2022 (-1.1%) and 401.63 million in FY2021 (+1.1%).
- The fiscal Q2 2026 figure ranks as the lowest quarterly Shares Outstanding since fiscal Q1 2019.
- Year over year, Shares Outstanding has now declined in each of the last six quarters, with an average decline of 0.8% over the last eight quarters.
- The high point for year-over-year Shares Outstanding in five years was fiscal Q3 2021 (growth of 1.3%); the low point was fiscal Q2 2026 (a decline of 2.6%).
- Per Business Quant data, the three fiscal quarters before Q2 2026 came in at 389.91 million (Q1 2026), 395.52 million (Q4 2025) and 395.66 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | 1.48 Bn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 204.00 Mn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 60.10 Mn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | 144.08 Mn |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 112.90 Mn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 385.98 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 160.16 Mn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | 186.51 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 49.12 Mn |
| 10 | V F | 5.53 Bn | 2.15 Bn | 917.04 Mn | 392.11 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 385.98 Mn |
| Mar 1, 2026 | 389.91 Mn |
| Nov 30, 2025 | 395.52 Mn |
| Aug 31, 2025 | 395.66 Mn |
| Jun 1, 2025 | 396.41 Mn |
| Mar 2, 2025 | 396.58 Mn |
| Dec 1, 2024 | 398.23 Mn |
| Aug 25, 2024 | 398.19 Mn |
| May 26, 2024 | 398.80 Mn |
| Feb 25, 2024 | 398.94 Mn |
| Nov 26, 2023 | 397.21 Mn |
| Aug 27, 2023 | 397.77 Mn |
| May 28, 2023 | 397.46 Mn |
| Feb 26, 2023 | 395.96 Mn |
| Nov 27, 2022 | 397.34 Mn |
| Aug 28, 2022 | 397.11 Mn |
| May 29, 2022 | 397.88 Mn |
| Feb 27, 2022 | 399.45 Mn |
| Nov 28, 2021 | 401.63 Mn |
| Aug 29, 2021 | 402.96 Mn |
Levi Strauss Shares Outstanding 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=shares-outstanding&ticker=LEVI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=LEVI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();