Rocky Brands (RCKY) Tax Provisions (2010 - 2026)
Rocky Brands (RCKY) posted Tax Provisions of $3.81 million for Q2 2026, up 270.2% from $1.03 million a year earlier.
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Analysis
Rocky Brands (RCKY) Tax Provisions (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Tax Provisions at Rocky Brands was $6.62 million, up 40.5% year-over-year; for FY2025, it came in at $4.91 million, up 83.7% from FY2024.
- Annual Tax Provisions shows a five-year compound annual growth rate of -3.9% (FY2020 to FY2025).
- In prior years, Rocky Brands' Tax Provisions was $2.67 million in FY2024 (-28.4%), $3.73 million in FY2023 (-29.7%), $5.3 million in FY2022 (+10.2%) and $4.81 million in FY2021 (-19.8%).
- The Q2 2026 figure stands as the highest quarterly Tax Provisions in data going back to Q2 2010.
- On a year-over-year basis, Tax Provisions increased in three of the last seven quarters, with growth averaging 25.9%.
- The strongest year-over-year quarter for Tax Provisions in the past five years was Q2 2026, with growth of 270.2%; the weakest was Q4 2024, with a decline of 76.0%.
- According to Business Quant data, Tax Provisions for the three prior quarters was $342,000 (Q1 2026), $438,000 (Q4 2025) and $2.03 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | 260.00 Mn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 81.00 Mn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 80.00 Mn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 138.13 Mn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 27.40 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 16.21 Mn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | -58.65 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 59.04 Mn |
| 10 | Rocky Brands | 334.63 Mn | 324.12 Mn | 60.80 Mn | 3.81 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.81 Mn |
| Mar 31, 2026 | 342,000.00 |
| Dec 31, 2025 | 438,000.00 |
| Sep 30, 2025 | 2.03 Mn |
| Jun 30, 2025 | 1.03 Mn |
| Mar 31, 2025 | 1.41 Mn |
| Dec 31, 2024 | 660,000.00 |
| Sep 30, 2024 | 1.61 Mn |
| Jun 30, 2024 | -380,000.00 |
| Mar 31, 2024 | 779,000.00 |
| Dec 31, 2023 | 2.75 Mn |
| Sep 30, 2023 | 1.80 Mn |
| Jun 30, 2023 | -713,000.00 |
| Mar 31, 2023 | -111,000.00 |
| Dec 31, 2022 | 1.25 Mn |
| Sep 30, 2022 | 1.75 Mn |
| Jun 30, 2022 | 353,000.00 |
| Mar 31, 2022 | 1.95 Mn |
| Dec 31, 2021 | 2.42 Mn |
| Sep 30, 2021 | -113,000.00 |
API Access
Rocky Brands Tax Provisions 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=tax-provisions&ticker=RCKY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=RCKY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();