Rocky Brands (RCKY) Revenue (2010 - 2026)
Rocky Brands' Revenue was $118.37 million in Q2 2026, up 12.0% from $105.65 million a year earlier but down 4.8% from the prior quarter.
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Analysis
Rocky Brands (RCKY) Revenue (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Rocky Brands' Revenue was $505.03 million through Jun 30, 2026, up 9.2% year-over-year; for FY2025, it was $481.98 million, up 6.2% from FY2024.
- Revenue shows a five-year compound annual growth rate of 11.7% (FY2020 to FY2025).
- In earlier years, Revenue was $453.77 million in FY2024 (-1.7%), $461.83 million in FY2023 (-25.0%), $615.48 million in FY2022 (+19.7%) and $514.23 million in FY2021 (+85.4%).
- Quarterly Revenue has moved between $98.26 million (Q2 2024) and $169.45 million (Q4 2021) over five years.
- Compared with a year earlier, Revenue has increased for seven straight quarters, with growth averaging 4.8% over the last eight quarters.
- The best year-over-year quarter for Revenue over five years was Q4 2021 (growth of 93.4%); the worst was Q2 2023 (a decline of 38.4%).
- Per Business Quant data, RCKY's Revenue in the three quarters before Q2 2026 was $124.4 million (Q1 2026), $139.72 million (Q4 2025) and $122.54 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | 10.97 Bn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 1.88 Bn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 1.96 Bn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 2.42 Bn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 1.56 Bn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 1.58 Bn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | 836.35 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 1.18 Bn |
| 10 | Rocky Brands | 334.63 Mn | 324.12 Mn | 60.80 Mn | 118.37 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 118.37 Mn |
| Mar 31, 2026 | 124.40 Mn |
| Dec 31, 2025 | 139.72 Mn |
| Sep 30, 2025 | 122.54 Mn |
| Jun 30, 2025 | 105.65 Mn |
| Mar 31, 2025 | 114.07 Mn |
| Dec 31, 2024 | 128.05 Mn |
| Sep 30, 2024 | 114.55 Mn |
| Jun 30, 2024 | 98.26 Mn |
| Mar 31, 2024 | 112.91 Mn |
| Dec 31, 2023 | 125.95 Mn |
| Sep 30, 2023 | 125.61 Mn |
| Jun 30, 2023 | 99.82 Mn |
| Mar 31, 2023 | 110.45 Mn |
| Dec 31, 2022 | 138.93 Mn |
| Sep 30, 2022 | 147.49 Mn |
| Jun 30, 2022 | 162.04 Mn |
| Mar 31, 2022 | 167.03 Mn |
| Dec 31, 2021 | 169.45 Mn |
| Sep 30, 2021 | 125.51 Mn |
API Access
Rocky Brands Revenue 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=revenue&ticker=RCKY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=RCKY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();