Rocky Brands (RCKY) Land & Improvements (2016 - 2025)
Rocky Brands (RCKY) posted Land & Improvements of $2.18 million for Q4 2025, up 123.9% from $972,000 a year earlier.
Analysis
Rocky Brands (RCKY) Land & Improvements (2016 - 2025) Analysis & Trends
Since Q4 2016, Rocky Brands has reported Land & Improvements for 10 quarters.
- Annual Land & Improvements shows a five-year compound annual growth rate of 17.9% (FY2020 to FY2025).
- In prior years, Rocky Brands' Land & Improvements was $972,000 in FY2024 (unchanged), $972,000 in FY2023 (unchanged), $972,000 in FY2022 (unchanged) and $972,000 in FY2021 (+1.7%).
- The Q4 2025 figure stands as the highest quarterly Land & Improvements in data going back to Q4 2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn | - |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn | 8.10 Mn |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn | 56.70 Mn |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - | - |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn | 77.31 Mn |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn | - |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn | - |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn | - |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn | - |
| 10 | Rocky Brands | 349.98 Mn | 339.47 Mn | 60.80 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 2.18 Mn |
| Dec 31, 2024 | 972,000.00 |
| Dec 31, 2023 | 972,000.00 |
| Dec 31, 2022 | 972,000.00 |
| Dec 31, 2021 | 972,000.00 |
| Dec 31, 2020 | 956,000.00 |
| Dec 31, 2019 | 956,000.00 |
| Dec 31, 2018 | 957,000.00 |
| Dec 31, 2017 | 671,000.00 |
| Dec 31, 2016 | 671,035.00 |
API Access
Rocky Brands Land & Improvements 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=land-and-improvements&ticker=RCKY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "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=land-and-improvements&ticker=RCKY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();