Rocky Brands (RCKY) Buildings (2016 - 2025)
Rocky Brands' Buildings came in at $37.86 million for Q4 2025, up 0.5% from $37.66 million a year earlier.
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Analysis
Rocky Brands (RCKY) Buildings (2016 - 2025) Analysis & Trends
Going back to Q4 2016, Rocky Brands' Buildings data covers 10 quarters.
- Buildings carries a five-year compound annual growth rate of 6.5% (FY2020 to FY2025).
- Going back by year, Buildings was $37.66 million in FY2024 (+0.2%), $37.58 million in FY2023 (-0.1%), $37.6 million in FY2022 (+3.1%) and $36.46 million in FY2021 (+32.1%).
- The Q4 2025 figure represents the highest quarterly Buildings in data going back to Q4 2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn |
| 10 | Rocky Brands | 334.63 Mn | 324.12 Mn | 60.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 37.86 Mn |
| Dec 31, 2024 | 37.66 Mn |
| Dec 31, 2023 | 37.58 Mn |
| Dec 31, 2022 | 37.60 Mn |
| Dec 31, 2021 | 36.46 Mn |
| Dec 31, 2020 | 27.60 Mn |
| Dec 31, 2019 | 20.81 Mn |
| Dec 31, 2018 | 20.66 Mn |
| Dec 31, 2017 | 20.22 Mn |
| Dec 31, 2016 | 20.61 Mn |
API Access
Rocky Brands Buildings 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=buildings&ticker=RCKY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "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=buildings&ticker=RCKY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();