Rocky Brands (RCKY) Short-Term Debt repayments (2010 - 2026)
Rocky Brands (RCKY) reported Short-Term Debt repayments of $8.5 million for Q2 2026, down 10.5% from $9.5 million a year earlier and down 20.9% from the prior quarter.
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Analysis
Rocky Brands (RCKY) Short-Term Debt repayments (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Rocky Brands' Short-Term Debt repayments came in at $55.25 million, up 23.1% year-over-year; for FY2025, it was $52 million, down 62.8% from FY2024.
- Short-Term Debt repayments has a five-year compound annual growth rate of 21.1% (FY2020 to FY2025).
- By year, Short-Term Debt repayments came in at $139.71 million in FY2024 (+37.1%), $101.9 million in FY2023 (+153.1%), $40.26 million in FY2022 (+18.4%) and $34 million in FY2021 (+70.0%).
- Five-year quarterly Short-Term Debt repayments spans a low of $25,000 in Q2 2022 and a high of $95.33 million in Q2 2024.
- Year over year, Short-Term Debt repayments gained in two of the last eight quarters, with an average decline of 22.6%.
- The high point for year-over-year Short-Term Debt repayments in five years was Q4 2022 (growth of 735.7%); the low point was Q2 2022 (a decline of 99.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $10.75 million (Q1 2026), $29 million (Q4 2025) and $7 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ST 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 | - |
| 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 | - |
| 9 | Birkenstock Holding | 6.28 Bn | 4.60 Bn | 493.89 Mn | - |
| 10 | Rocky Brands | 354.35 Mn | 343.83 Mn | 60.80 Mn | 8.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.50 Mn |
| Mar 31, 2026 | 10.75 Mn |
| Dec 31, 2025 | 29.00 Mn |
| Sep 30, 2025 | 7.00 Mn |
| Jun 30, 2025 | 9.50 Mn |
| Mar 31, 2025 | 6.50 Mn |
| Dec 31, 2024 | 21.00 Mn |
| Sep 30, 2024 | 7.88 Mn |
| Jun 30, 2024 | 95.33 Mn |
| Mar 31, 2024 | 15.50 Mn |
| Dec 31, 2023 | 35.50 Mn |
| Sep 30, 2023 | 29.65 Mn |
| Jun 30, 2023 | 15.75 Mn |
| Mar 31, 2023 | 21.00 Mn |
| Dec 31, 2022 | 29.25 Mn |
| Sep 30, 2022 | 5.96 Mn |
| Jun 30, 2022 | 25,000.00 |
| Mar 31, 2022 | 5.03 Mn |
| Dec 31, 2021 | 3.50 Mn |
| Jun 30, 2021 | 11.00 Mn |
API Access
Rocky Brands Short-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=short-term-debt-repayments&ticker=RCKY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-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=short-term-debt-repayments&ticker=RCKY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();