Rocky Brands (RCKY) Enterprise Value (2010 - 2026)
Rocky Brands (RCKY) recorded Enterprise Value of $306.17 million in Q2 2026, up 88.1% from $162.78 million a year earlier and up 5.5% from the prior quarter.
Rocky Brands (RCKY) Enterprise Value (2010 - 2026) Analysis & Trends
On a TTM basis, Rocky Brands' Enterprise Value came in at $298.29 million as of Jun 30, 2026, up 95.2% year-over-year; for FY2025, it came in at $217.22 million, up 30.7% from FY2024.
- Annual Enterprise Value has a five-year compound annual growth rate of 4.4% (FY2020 to FY2025).
- Across earlier years, Enterprise Value came in at $166.24 million in FY2024 (-24.2%), $219.24 million in FY2023 (+30.8%), $167.63 million in FY2022 (-41.1%) and $284.72 million in FY2021 (+62.6%).
- The Q2 2026 figure is the highest quarterly Enterprise Value since Q3 2021.
- On a year-over-year basis, Enterprise Value has increased for three consecutive quarters, with growth averaging 33.2% over the last eight quarters.
- Peak year-over-year performance for Enterprise Value in the last five years was growth of 128.7% in Q1 2026, against a decline of 58.3% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $290.15 million (Q1 2026), $217.22 million (Q4 2025) and $219.76 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 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 |
| 10 | Rocky Brands | 334.63 Mn | 324.12 Mn | 60.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 306.17 Mn |
| Mar 31, 2026 | 290.15 Mn |
| Dec 31, 2025 | 217.22 Mn |
| Sep 30, 2025 | 219.76 Mn |
| Jun 30, 2025 | 162.78 Mn |
| Mar 31, 2025 | 126.88 Mn |
| Dec 31, 2024 | 166.24 Mn |
| Sep 30, 2024 | 233.62 Mn |
| Jun 30, 2024 | 271.06 Mn |
| Mar 31, 2024 | 198.18 Mn |
| Dec 31, 2023 | 219.24 Mn |
| Sep 30, 2023 | 104.04 Mn |
| Jun 30, 2023 | 151.35 Mn |
| Mar 31, 2023 | 164.54 Mn |
| Dec 31, 2022 | 167.63 Mn |
| Sep 30, 2022 | 139.61 Mn |
| Jun 30, 2022 | 244.16 Mn |
| Mar 31, 2022 | 289.12 Mn |
| Dec 31, 2021 | 284.72 Mn |
| Sep 30, 2021 | 334.42 Mn |
Rocky Brands Enterprise Value 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=enterprise-value&ticker=RCKY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=RCKY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();