Rocky Brands (RCKY) Inventory (2010 - 2026)
Rocky Brands (RCKY) posted Inventory of $173.53 million for Q2 2026, down 7.1% from $186.84 million a year earlier but up 0.5% from the prior quarter.
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Analysis
Rocky Brands (RCKY) Inventory (2010 - 2026) Analysis & Trends
At the end of FY2025, Rocky Brands' Inventory came in at $181.13 million, up 8.7% from FY2024.
- Annual Inventory shows a five-year compound annual growth rate of 18.5% (FY2020 to FY2025).
- In prior years, Rocky Brands' Inventory was $166.7 million in FY2024 (-1.5%), $169.2 million in FY2023 (-28.1%), $235.4 million in FY2022 (+1.3%) and $232.46 million in FY2021 (+199.7%).
- Quarterly Inventory has run from a low of $165.13 million in Q1 2024 to a high of $289.23 million in Q1 2022 over five years.
- On a year-over-year basis, Inventory increased in four of the last eight quarters, with growth averaging 1.5%.
- The strongest year-over-year quarter for Inventory in the past five years was Q4 2021, with growth of 199.7%; the weakest was Q4 2023, with a decline of 28.1%.
- According to Business Quant data, Inventory for the three prior quarters was $172.64 million (Q1 2026), $181.13 million (Q4 2025) and $193.61 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | - |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 826.20 Mn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 1.16 Bn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | 487.02 Mn |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 1.71 Bn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 1.16 Bn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 2.17 Bn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | 980.27 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 389.21 Mn |
| 10 | Rocky Brands | 334.63 Mn | 324.12 Mn | 60.80 Mn | 173.53 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 173.53 Mn |
| Mar 31, 2026 | 172.64 Mn |
| Dec 31, 2025 | 181.13 Mn |
| Sep 30, 2025 | 193.61 Mn |
| Jun 30, 2025 | 186.84 Mn |
| Mar 31, 2025 | 175.51 Mn |
| Dec 31, 2024 | 166.70 Mn |
| Sep 30, 2024 | 171.85 Mn |
| Jun 30, 2024 | 174.97 Mn |
| Mar 31, 2024 | 165.13 Mn |
| Dec 31, 2023 | 169.20 Mn |
| Sep 30, 2023 | 194.73 Mn |
| Jun 30, 2023 | 218.33 Mn |
| Mar 31, 2023 | 224.12 Mn |
| Dec 31, 2022 | 235.40 Mn |
| Sep 30, 2022 | 265.08 Mn |
| Jun 30, 2022 | 287.82 Mn |
| Mar 31, 2022 | 289.23 Mn |
| Dec 31, 2021 | 232.46 Mn |
| Sep 30, 2021 | 202.20 Mn |
API Access
Rocky Brands Inventory 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=inventory&ticker=RCKY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=RCKY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();