Rocky Brands (RCKY) Income from Continuing Operations (2010 - 2026)
Rocky Brands (RCKY) reported Income from Continuing Operations of $13.88 million for Q2 2026, up 284.7% from $3.61 million a year earlier.
Rocky Brands (RCKY) Income from Continuing Operations (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Rocky Brands' Income from Continuing Operations came in at $28.86 million, up 54.9% year-over-year; for FY2025, it was $22.27 million, up 95.6% from FY2024.
- Income from Continuing Operations has a five-year compound annual growth rate of 1.2% (FY2020 to FY2025).
- By year, Income from Continuing Operations came in at $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 ranks as the highest quarterly Income from Continuing Operations in data going back to Q2 2010.
- Year over year, Income from Continuing Operations gained in four of the last seven quarters, with growth averaging 46.4%.
- The high point for year-over-year Income from Continuing Operations in five years was Q2 2026 (growth of 284.7%); the low point was Q2 2022 (a decline of 76.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.26 million (Q1 2026), $6.51 million (Q4 2025) and $7.21 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Income (Continuing) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | 1.07 Bn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 347.80 Mn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 262.20 Mn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 329.22 Mn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 94.80 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 90.40 Mn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | 244.68 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 204.89 Mn |
| 10 | Rocky Brands | 334.63 Mn | 324.12 Mn | 60.80 Mn | 13.88 Mn |
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 |
Rocky Brands Income from Continuing Operations 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=income-from-continuing-operations&ticker=RCKY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-from-continuing-operations", "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=income-from-continuing-operations&ticker=RCKY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();