Rocky Brands (RCKY) Retained Earnings (2010 - 2026)
Rocky Brands' Retained Earnings was $188.7 million in Q2 2026, up 14.6% from $164.6 million a year earlier and up 7.2% from the prior quarter.
Powered by 
Analysis
Rocky Brands (RCKY) Retained Earnings (2010 - 2026) Analysis & Trends
At the end of FY2025, Retained Earnings at Rocky Brands came in at $176 million, up 11.1% from FY2024.
- Retained Earnings has now increased for nine consecutive years, with a five-year compound annual growth rate of 9.2% (FY2020 to FY2025).
- In earlier years, Retained Earnings was $158.36 million in FY2024 (+4.5%), $151.58 million in FY2023 (+4.0%), $145.72 million in FY2022 (+12.3%) and $129.79 million in FY2021 (+14.3%).
- The Q2 2026 figure marks the highest quarterly Retained Earnings in data going back to Q2 2010.
- Compared with a year earlier, Retained Earnings has increased for 36 straight quarters, with growth averaging 8.8% over the last eight quarters.
- The year-over-year growth in Retained Earnings has ranged between 3.3% (Q2 2023) and 18.6% (Q3 2022) over the last five years.
- Per Business Quant data, RCKY's Retained Earnings in the three quarters before Q2 2026 was $176.09 million (Q1 2026), $176 million (Q4 2025) and $170.65 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | -155.00 Mn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | -3.21 Bn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 8.51 Bn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | 2.25 Bn |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 4.36 Bn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 1.90 Bn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 902.37 Mn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | 1.17 Bn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 3.82 Bn |
| 10 | Rocky Brands | 334.63 Mn | 324.12 Mn | 60.80 Mn | 188.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 188.70 Mn |
| Mar 31, 2026 | 176.09 Mn |
| Dec 31, 2025 | 176.00 Mn |
| Sep 30, 2025 | 170.65 Mn |
| Jun 30, 2025 | 164.60 Mn |
| Mar 31, 2025 | 162.14 Mn |
| Dec 31, 2024 | 158.36 Mn |
| Sep 30, 2024 | 154.71 Mn |
| Jun 30, 2024 | 150.59 Mn |
| Mar 31, 2024 | 152.98 Mn |
| Dec 31, 2023 | 151.58 Mn |
| Sep 30, 2023 | 146.01 Mn |
| Jun 30, 2023 | 140.33 Mn |
| Mar 31, 2023 | 144.18 Mn |
| Dec 31, 2022 | 145.72 Mn |
| Sep 30, 2022 | 140.34 Mn |
| Jun 30, 2022 | 135.79 Mn |
| Mar 31, 2022 | 136.00 Mn |
| Dec 31, 2021 | 129.79 Mn |
| Sep 30, 2021 | 118.38 Mn |
API Access
Rocky Brands Retained Earnings 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=retained-earnings&ticker=RCKY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=RCKY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();