Rocky Brands (RCKY) Cash & Equivalents (2010 - 2026)
Rocky Brands (RCKY) posted Cash & Equivalents of $2.63 million for Q2 2026, down 5.5% from $2.78 million a year earlier but up 57.6% from the prior quarter.
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Analysis
Rocky Brands (RCKY) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Rocky Brands' Cash & Equivalents came in at $2.9 million, down 22.0% from FY2024.
- Annual Cash & Equivalents has declined for five consecutive years, with a five-year compound annual growth rate of -36.6% (FY2020 to FY2025).
- In prior years, Rocky Brands' Cash & Equivalents was $3.72 million in FY2024 (-16.8%), $4.47 million in FY2023 (-21.8%), $5.72 million in FY2022 (-3.2%) and $5.91 million in FY2021 (-79.2%).
- Quarterly Cash & Equivalents has run from a low of $1.67 million in Q1 2026 to a high of $14.95 million in Q1 2022 over five years.
- On a year-over-year basis, Cash & Equivalents has declined in each of the last eight quarters, with an average decline of 18.9% over the last eight quarters.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q1 2022, with growth of 68.1%; the weakest was Q4 2021, with a decline of 79.2%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $1.67 million (Q1 2026), $2.9 million (Q4 2025) and $3.32 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn | 6.90 Bn |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn | 974.70 Mn |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn | 1.72 Bn |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - | 1.91 Bn |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn | 1.39 Bn |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn | 849.30 Mn |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn | 268.30 Mn |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn | 806.25 Mn |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn | 170.28 Mn |
| 10 | Rocky Brands | 349.98 Mn | 339.47 Mn | 60.80 Mn | 2.63 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.63 Mn |
| Mar 31, 2026 | 1.67 Mn |
| Dec 31, 2025 | 2.90 Mn |
| Sep 30, 2025 | 3.32 Mn |
| Jun 30, 2025 | 2.78 Mn |
| Mar 31, 2025 | 2.56 Mn |
| Dec 31, 2024 | 3.72 Mn |
| Sep 30, 2024 | 3.71 Mn |
| Jun 30, 2024 | 4.11 Mn |
| Mar 31, 2024 | 3.06 Mn |
| Dec 31, 2023 | 4.47 Mn |
| Sep 30, 2023 | 4.24 Mn |
| Jun 30, 2023 | 3.08 Mn |
| Mar 31, 2023 | 4.95 Mn |
| Dec 31, 2022 | 5.72 Mn |
| Sep 30, 2022 | 7.28 Mn |
| Jun 30, 2022 | 5.80 Mn |
| Mar 31, 2022 | 14.95 Mn |
| Dec 31, 2021 | 5.91 Mn |
| Sep 30, 2021 | 12.92 Mn |
API Access
Rocky Brands Cash & Equivalents 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-and-equivalents&ticker=RCKY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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-and-equivalents&ticker=RCKY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();