Rocky Brands (RCKY) Shares Outstanding (Entity) (2010 - 2026)
Rocky Brands' Shares Outstanding (Entity) was 7.49 million in Q2 2026, up 0.4% from 7.46 million a year earlier but down 0.6% from the prior quarter.
Rocky Brands (RCKY) Shares Outstanding (Entity) (2010 - 2026) Analysis & Trends
For FY2025, Shares Outstanding (Entity) at Rocky Brands came in at 7.51 million, up 0.7% from FY2024.
- Shares Outstanding (Entity) has now increased for five consecutive years, with a five-year compound annual growth rate of 0.7% (FY2020 to FY2025).
- In earlier years, Shares Outstanding (Entity) was 7.45 million in FY2024 (+0.6%), 7.41 million in FY2023 (+1.0%), 7.34 million in FY2022 (+0.5%) and 7.3 million in FY2021 (+0.8%).
- Quarterly Shares Outstanding (Entity) has moved between 7.3 million (Q3 2021) and 7.54 million (Q1 2026) over five years.
- Compared with a year earlier, Shares Outstanding (Entity) has increased for 20 straight quarters, with growth averaging 0.6% over the last eight quarters.
- Over the past five years, the year-over-year growth in Shares Outstanding (Entity) ranged from 0.2% (Q2 2025) to 1.2% (Q2 2024).
- Per Business Quant data, RCKY's Shares Outstanding (Entity) in the three quarters before Q2 2026 was 7.54 million (Q1 2026), 7.51 million (Q4 2025) and 7.49 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (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 | 200.40 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 | - | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 106.57 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 | - |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | - |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 48.10 Mn |
| 10 | Rocky Brands | 334.63 Mn | 324.12 Mn | 60.80 Mn | 7.49 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.49 Mn |
| Mar 31, 2026 | 7.54 Mn |
| Dec 31, 2025 | 7.51 Mn |
| Sep 30, 2025 | 7.49 Mn |
| Jun 30, 2025 | 7.46 Mn |
| Mar 31, 2025 | 7.45 Mn |
| Dec 31, 2024 | 7.45 Mn |
| Sep 30, 2024 | 7.45 Mn |
| Jun 30, 2024 | 7.44 Mn |
| Mar 31, 2024 | 7.42 Mn |
| Dec 31, 2023 | 7.41 Mn |
| Sep 30, 2023 | 7.37 Mn |
| Jun 30, 2023 | 7.35 Mn |
| Mar 31, 2023 | 7.35 Mn |
| Dec 31, 2022 | 7.34 Mn |
| Sep 30, 2022 | 7.32 Mn |
| Jun 30, 2022 | 7.31 Mn |
| Mar 31, 2022 | 7.31 Mn |
| Dec 31, 2021 | 7.30 Mn |
| Sep 30, 2021 | 7.30 Mn |
Rocky Brands 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=RCKY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "ticker": "RCKY", "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=RCKY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();