Crocs (CROX) Shares Outstanding (Entity) (2010 - 2026)
Crocs (CROX) posted Shares Outstanding (Entity) of 48.1 million for Q2 2026, down 12.2% from 54.8 million a year earlier and down 4.6% from the prior quarter.
Crocs (CROX) Shares Outstanding (Entity) (2010 - 2026) Analysis & Trends
For FY2025, Crocs' Shares Outstanding (Entity) came in at 50.2 million, down 11.2% from FY2024.
- Annual Shares Outstanding (Entity) has declined for three consecutive years, with a five-year compound annual growth rate of -5.3% (FY2020 to FY2025).
- In prior years, Crocs' Shares Outstanding (Entity) was 56.5 million in FY2024 (-6.6%), 60.5 million in FY2023 (-1.9%), 61.7 million in FY2022 (+5.8%) and 58.3 million in FY2021 (-11.5%).
- The Q2 2026 figure stands as the lowest quarterly Shares Outstanding (Entity) in data going back to Q4 2010.
- On a year-over-year basis, Shares Outstanding (Entity) has declined in each of the last 12 quarters, with an average decline of 8.7% over the last eight quarters.
- The strongest year-over-year quarter for Shares Outstanding (Entity) in the past five years was Q4 2022, with growth of 5.8%; the weakest was Q2 2026, with a decline of 12.2%.
- According to Business Quant data, Shares Outstanding (Entity) for the three prior quarters was 50.4 million (Q1 2026), 50.2 million (Q4 2025) and 52.4 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.14 Bn | 19.13 Bn | 5.39 Bn | 1.48 Bn |
| 2 | Tapestry | 22.87 Bn | 18.83 Bn | 1.56 Bn | 200.40 Mn |
| 3 | Ralph Lauren | 21.39 Bn | 13.49 Bn | 1.44 Bn | 60.10 Mn |
| 4 | Deckers Outdoor | 11.06 Bn | 3.93 Bn | - | - |
| 5 | Lululemon Athletica | 10.32 Bn | 4.58 Bn | 1.46 Bn | 106.57 Mn |
| 6 | Levi Strauss | 7.62 Bn | 4.28 Bn | 979.10 Mn | 385.98 Mn |
| 7 | Gildan Activewear | 6.55 Bn | 5.54 Bn | 459.76 Mn | - |
| 8 | Birkenstock Holding | 6.07 Bn | 4.38 Bn | 493.89 Mn | - |
| 9 | Crocs | 5.90 Bn | 5.31 Bn | 700.71 Mn | 48.10 Mn |
| 10 | V F | 5.70 Bn | 2.32 Bn | 917.04 Mn | 393.12 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 48.10 Mn |
| Mar 31, 2026 | 50.40 Mn |
| Dec 31, 2025 | 50.20 Mn |
| Sep 30, 2025 | 52.40 Mn |
| Jun 30, 2025 | 54.80 Mn |
| Mar 31, 2025 | 56.10 Mn |
| Dec 31, 2024 | 56.50 Mn |
| Sep 30, 2024 | 58.50 Mn |
| Jun 30, 2024 | 59.60 Mn |
| Mar 31, 2024 | 60.70 Mn |
| Dec 31, 2023 | 60.50 Mn |
| Sep 30, 2023 | 60.80 Mn |
| Jun 30, 2023 | 62.10 Mn |
| Mar 31, 2023 | 62.00 Mn |
| Dec 31, 2022 | 61.70 Mn |
| Sep 30, 2022 | 61.70 Mn |
| Jun 30, 2022 | 61.60 Mn |
| Mar 31, 2022 | 61.60 Mn |
| Dec 31, 2021 | 58.30 Mn |
| Sep 30, 2021 | 61.50 Mn |
Crocs Shares Outstanding (Entity) 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-entity&ticker=CROX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "ticker": "CROX", "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-entity&ticker=CROX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();