Rocky Brands (RCKY) Free Cash Flow (2010 - 2026)
Rocky Brands (RCKY) posted Free Cash Flow of $4.14 million for Q2 2026, compared with -$2.36 million a year earlier and up 456.6% from the prior quarter.
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Analysis
Rocky Brands (RCKY) Free Cash Flow (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Free Cash Flow at Rocky Brands was $16.44 million, down 33.0% year-over-year; for FY2025, it was $9.72 million, down 79.8% from FY2024.
- Annual Free Cash Flow shows a five-year compound annual growth rate of -13.2% (FY2020 to FY2025).
- In prior years, Rocky Brands' Free Cash Flow was $48.1 million in FY2024 (-30.9%), $69.66 million in FY2023 (+460.8%), $12.42 million in FY2022 and -$75.93 million in FY2021.
- Quarterly Free Cash Flow has run from a low of -$45.61 million in Q3 2021 to a high of $41.46 million in Q4 2023 over five years.
- On a year-over-year basis, Free Cash Flow increased in 1 of the last five quarters, with an average decline of 38.9%.
- The strongest year-over-year quarter for Free Cash Flow in the past five years was Q1 2022, with growth of 643.9%; the weakest was Q1 2025, with a decline of 96.9%.
- According to Business Quant data, Free Cash Flow for the three prior quarters was $744,000 (Q1 2026), $16.72 million (Q4 2025) and -$5.17 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FCF (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn | -64.00 Mn |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn | 469.00 Mn |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn | 285.90 Mn |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - | - |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn | 225.16 Mn |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn | 230.90 Mn |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn | 367.29 Mn |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn | 316.96 Mn |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn | 330.97 Mn |
| 10 | Rocky Brands | 349.98 Mn | 339.47 Mn | 60.80 Mn | 4.14 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.14 Mn |
| Mar 31, 2026 | 744,000.00 |
| Dec 31, 2025 | 16.72 Mn |
| Sep 30, 2025 | -5.17 Mn |
| Jun 30, 2025 | -2.36 Mn |
| Mar 31, 2025 | 529,000.00 |
| Dec 31, 2024 | 22.90 Mn |
| Sep 30, 2024 | 3.46 Mn |
| Jun 30, 2024 | 4.62 Mn |
| Mar 31, 2024 | 17.12 Mn |
| Dec 31, 2023 | 41.46 Mn |
| Sep 30, 2023 | 10.28 Mn |
| Jun 30, 2023 | -2.46 Mn |
| Mar 31, 2023 | 20.37 Mn |
| Dec 31, 2022 | 27.43 Mn |
| Sep 30, 2022 | -2.87 Mn |
| Jun 30, 2022 | -24.68 Mn |
| Mar 31, 2022 | 12.55 Mn |
| Dec 31, 2021 | -31.58 Mn |
| Sep 30, 2021 | -45.61 Mn |
API Access
Rocky Brands Free Cash Flow 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=free-cash-flow&ticker=RCKY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "free-cash-flow", "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=free-cash-flow&ticker=RCKY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();