Rocky Brands (RCKY) Cash from Operations (2010 - 2026)
Rocky Brands (RCKY) posted Cash from Operations of $7.83 million for Q2 2026, up 863.7% from $812,000 a year earlier and up 314.9% from the prior quarter.
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Analysis
Rocky Brands (RCKY) Cash from Operations (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Cash from Operations at Rocky Brands was $23.97 million, down 22.5% year-over-year; for FY2025, it was $16.3 million, down 69.1% from FY2024.
- Annual Cash from Operations shows a five-year compound annual growth rate of -12.3% (FY2020 to FY2025).
- In prior years, Rocky Brands' Cash from Operations was $52.76 million in FY2024 (-28.3%), $73.58 million in FY2023 (+284.8%), $19.12 million in FY2022 and -$54.88 million in FY2021.
- Quarterly Cash from Operations has run from a low of -$39.5 million in Q3 2021 to a high of $42.44 million in Q4 2023 over five years.
- On a year-over-year basis, Cash from Operations increased in two of the last seven quarters, with growth averaging 86.5%.
- The strongest year-over-year quarter for Cash from Operations in the past five years was Q2 2026, with growth of 863.7%; the weakest was Q1 2025, with a decline of 92.9%.
- According to Business Quant data, Cash from Operations for the three prior quarters was $1.89 million (Q1 2026), $17.59 million (Q4 2025) and -$3.33 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | 1.64 Bn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 522.20 Mn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 339.30 Mn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 374.84 Mn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 270.80 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 347.44 Mn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | 286.47 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 351.70 Mn |
| 10 | Rocky Brands | 334.63 Mn | 324.12 Mn | 60.80 Mn | 7.83 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.83 Mn |
| Mar 31, 2026 | 1.89 Mn |
| Dec 31, 2025 | 17.59 Mn |
| Sep 30, 2025 | -3.33 Mn |
| Jun 30, 2025 | 812,000.00 |
| Mar 31, 2025 | 1.23 Mn |
| Dec 31, 2024 | 24.39 Mn |
| Sep 30, 2024 | 4.50 Mn |
| Jun 30, 2024 | 6.47 Mn |
| Mar 31, 2024 | 17.40 Mn |
| Dec 31, 2023 | 42.44 Mn |
| Sep 30, 2023 | 11.48 Mn |
| Jun 30, 2023 | -1.15 Mn |
| Mar 31, 2023 | 20.80 Mn |
| Dec 31, 2022 | 28.45 Mn |
| Sep 30, 2022 | -761,000.00 |
| Jun 30, 2022 | -22.36 Mn |
| Mar 31, 2022 | 13.79 Mn |
| Dec 31, 2021 | -26.39 Mn |
| Sep 30, 2021 | -39.50 Mn |
API Access
Rocky Brands Cash from 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=cash-from-operations&ticker=RCKY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-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=cash-from-operations&ticker=RCKY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();