Rocky Brands (RCKY) Total Non-Current Liabilities (2010 - 2026)
Rocky Brands (RCKY) posted Total Non-Current Liabilities of $225.39 million for Q2 2026, down 2.5% from $231.14 million a year earlier but up 0.7% from the prior quarter.
Rocky Brands (RCKY) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Rocky Brands' Total Non-Current Liabilities came in at $224.52 million, up 0.1% from FY2024.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of 35.4% (FY2020 to FY2025).
- In prior years, Rocky Brands' Total Non-Current Liabilities was $224.36 million in FY2024 (-12.1%), $255.11 million in FY2023 (-30.4%), $366.33 million in FY2022 (-14.0%) and $426.2 million in FY2021 (+763.3%).
- Quarterly Total Non-Current Liabilities has run from a low of $223.82 million in Q1 2026 to a high of $479.64 million in Q1 2022 over five years.
- On a year-over-year basis, Total Non-Current Liabilities increased in two of the last eight quarters, with an average decline of 6.0%.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q4 2021, with growth of 763.3%; the weakest was Q1 2023, with a decline of 32.5%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $223.82 million (Q1 2026), $224.52 million (Q4 2025) and $247.07 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | - |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 5.46 Bn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 4.76 Bn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | 384.05 Mn |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 3.63 Bn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 4.12 Bn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 4.37 Bn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | 2.75 Bn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 2.33 Bn |
| 10 | Rocky Brands | 334.63 Mn | 324.12 Mn | 60.80 Mn | 225.39 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 225.39 Mn |
| Mar 31, 2026 | 223.82 Mn |
| Dec 31, 2025 | 224.52 Mn |
| Sep 30, 2025 | 247.07 Mn |
| Jun 30, 2025 | 231.14 Mn |
| Mar 31, 2025 | 231.24 Mn |
| Dec 31, 2024 | 224.36 Mn |
| Sep 30, 2024 | 245.99 Mn |
| Jun 30, 2024 | 243.31 Mn |
| Mar 31, 2024 | 240.50 Mn |
| Dec 31, 2023 | 255.11 Mn |
| Sep 30, 2023 | 314.78 Mn |
| Jun 30, 2023 | 322.46 Mn |
| Mar 31, 2023 | 323.64 Mn |
| Dec 31, 2022 | 366.33 Mn |
| Sep 30, 2022 | 431.07 Mn |
| Jun 30, 2022 | 463.76 Mn |
| Mar 31, 2022 | 479.64 Mn |
| Dec 31, 2021 | 426.20 Mn |
| Sep 30, 2021 | 360.28 Mn |
Rocky Brands Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=RCKY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=RCKY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();