Rocky Brands (RCKY) Long-Term Debt Repayments (2010 - 2026)
Rocky Brands' Long-Term Debt Repayments came in at $2.09 million for Q2 2026, unchanged from $2.09 million a year earlier and unchanged from the prior quarter.
Rocky Brands (RCKY) Long-Term Debt Repayments (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Rocky Brands reported Long-Term Debt Repayments of $8.36 million, down 54.5% year-over-year; for FY2025, it came in at $8.36 million, down 91.1% from FY2024.
- Long-Term Debt Repayments carries a four-year compound annual growth rate of 36.1% (FY2021 to FY2025).
- Going back by year, Long-Term Debt Repayments was $94.3 million in FY2024 (+145.6%), $38.4 million in FY2023 (+241.9%), $11.23 million in FY2022 (+360.7%) and $2.44 million in FY2021.
- The five-year range for quarterly Long-Term Debt Repayments is $787,000 (Q2 2022) to $76.47 million (Q2 2024).
- Year-over-year, Long-Term Debt Repayments increased in 1 of the last eight quarters, with an average decline of 28.2%.
- The fastest year-over-year change in Long-Term Debt Repayments over five years came in Q4 2022 (growth of 612.7%), and the weakest in Q2 2025 (a decline of 97.3%).
- Business Quant data shows RCKY's Long-Term Debt Repayments at $2.09 million (Q1 2026), $2.09 million (Q4 2025) and $2.09 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 56.59 Bn | 22.79 Bn | 4.80 Bn | - |
| 2 | Tapestry | 23.22 Bn | 19.18 Bn | 1.56 Bn | - |
| 3 | Ralph Lauren | 22.91 Bn | 15.01 Bn | 1.44 Bn | 7.10 Mn |
| 4 | Deckers Outdoor | 12.28 Bn | 5.16 Bn | - | - |
| 5 | Lululemon Athletica | 11.66 Bn | 5.91 Bn | 1.46 Bn | - |
| 6 | Levi Strauss | 8.28 Bn | 4.86 Bn | 1.07 Bn | - |
| 7 | V F | 6.86 Bn | 3.48 Bn | 917.04 Mn | - |
| 8 | Gildan Activewear | 6.60 Bn | 5.52 Bn | 459.76 Mn | -25.30 Mn |
| 9 | Birkenstock Holding | 6.28 Bn | 4.60 Bn | 493.89 Mn | 534.46 Mn |
| 10 | Rocky Brands | 354.35 Mn | 343.83 Mn | 60.80 Mn | 2.09 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.09 Mn |
| Mar 31, 2026 | 2.09 Mn |
| Dec 31, 2025 | 2.09 Mn |
| Sep 30, 2025 | 2.09 Mn |
| Jun 30, 2025 | 2.09 Mn |
| Mar 31, 2025 | 2.09 Mn |
| Dec 31, 2024 | 12.09 Mn |
| Sep 30, 2024 | 2.09 Mn |
| Jun 30, 2024 | 76.47 Mn |
| Mar 31, 2024 | 3.64 Mn |
| Dec 31, 2023 | 10.66 Mn |
| Sep 30, 2023 | 2.51 Mn |
| Jun 30, 2023 | 4.71 Mn |
| Mar 31, 2023 | 20.53 Mn |
| Dec 31, 2022 | 5.79 Mn |
| Sep 30, 2022 | 3.81 Mn |
| Jun 30, 2022 | 787,000.00 |
| Mar 31, 2022 | 838,000.00 |
| Dec 31, 2021 | 813,000.00 |
| Sep 30, 2021 | 812,000.00 |
Rocky Brands Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=RCKY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=RCKY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();