Rocky Brands (RCKY) Consolidated Net Income (2010 - 2026)
Rocky Brands' Consolidated Net Income was $13.88 million in Q2 2026, up 284.7% from $3.61 million a year earlier.
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Analysis
Rocky Brands (RCKY) Consolidated Net Income (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Rocky Brands' Consolidated Net Income was $28.86 million through Jun 30, 2026, up 54.9% year-over-year; for FY2025, it was $22.27 million, up 95.6% from FY2024.
- Consolidated Net Income shows a five-year compound annual growth rate of 1.2% (FY2020 to FY2025).
- In earlier years, Consolidated Net Income was $11.39 million in FY2024 (+9.2%), $10.43 million in FY2023 (-49.1%), $20.47 million in FY2022 (-0.5%) and $20.56 million in FY2021 (-1.9%).
- The Q2 2026 figure marks the highest quarterly Consolidated Net Income in data going back to Q2 2010.
- Compared with a year earlier, Consolidated Net Income was higher in four of the last seven quarters, with growth averaging 46.4%.
- The best year-over-year quarter for Consolidated Net Income over five years was Q2 2026 (growth of 284.7%); the worst was Q2 2022 (a decline of 76.4%).
- Per Business Quant data, RCKY's Consolidated Net Income in the three quarters before Q2 2026 was $1.26 million (Q1 2026), $6.51 million (Q4 2025) and $7.21 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Consol Net Inc. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn | 712.00 Mn |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn | 347.80 Mn |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn | 262.20 Mn |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - | - |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn | 329.22 Mn |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn | 87.30 Mn |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn | -49.95 Mn |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn | 127.38 Mn |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn | 204.89 Mn |
| 10 | Rocky Brands | 349.98 Mn | 339.47 Mn | 60.80 Mn | 13.88 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.88 Mn |
| Mar 31, 2026 | 1.26 Mn |
| Dec 31, 2025 | 6.51 Mn |
| Sep 30, 2025 | 7.21 Mn |
| Jun 30, 2025 | 3.61 Mn |
| Mar 31, 2025 | 4.94 Mn |
| Dec 31, 2024 | 4.80 Mn |
| Sep 30, 2024 | 5.28 Mn |
| Jun 30, 2024 | -1.24 Mn |
| Mar 31, 2024 | 2.55 Mn |
| Dec 31, 2023 | 6.71 Mn |
| Sep 30, 2023 | 6.83 Mn |
| Jun 30, 2023 | -2.72 Mn |
| Mar 31, 2023 | -398,000.00 |
| Dec 31, 2022 | 6.52 Mn |
| Sep 30, 2022 | 5.69 Mn |
| Jun 30, 2022 | 920,000.00 |
| Mar 31, 2022 | 7.34 Mn |
| Dec 31, 2021 | 12.55 Mn |
| Sep 30, 2021 | -375,000.00 |
API Access
Rocky Brands Consolidated Net Income 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=consolidated-net-income&ticker=RCKY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "consolidated-net-income", "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=consolidated-net-income&ticker=RCKY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();