Rocky Brands (RCKY) Short-Term Debt issuances (2010 - 2026)
Rocky Brands (RCKY) posted Short-Term Debt issuances of $10.7 million for Q2 2026, down 30.4% from $15.37 million a year earlier and down 12.4% from the prior quarter.
Rocky Brands (RCKY) Short-Term Debt issuances (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Short-Term Debt issuances at Rocky Brands was $52.95 million, up 24.2% year-over-year; for FY2025, it was $53.74 million, down 61.6% from FY2024.
- Annual Short-Term Debt issuances shows a five-year compound annual growth rate of 21.9% (FY2020 to FY2025).
- In prior years, Rocky Brands' Short-Term Debt issuances was $139.8 million in FY2024 (+151.1%), $55.68 million in FY2023 (+48.5%), $37.49 million in FY2022 (-79.2%) and $180.07 million in FY2021 (+800.4%).
- The Q2 2026 figure stands as the lowest quarterly Short-Term Debt issuances since Q1 2025.
- On a year-over-year basis, Short-Term Debt issuances increased in five of the last eight quarters, with growth averaging 61.3%.
- The strongest year-over-year quarter for Short-Term Debt issuances in the past five years was Q2 2024, with growth of 437.0%; the weakest was Q1 2022, with a decline of 95.8%.
- According to Business Quant data, Short-Term Debt issuances for the three prior quarters was $12.22 million (Q1 2026), $14.56 million (Q4 2025) and $15.48 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ST Debt Issuance (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.81 Bn | 22.01 Bn | 4.80 Bn | - |
| 2 | Tapestry | 22.64 Bn | 18.60 Bn | 1.56 Bn | - |
| 3 | Ralph Lauren | 22.61 Bn | 14.71 Bn | 1.44 Bn | - |
| 4 | Deckers Outdoor | 11.54 Bn | 4.41 Bn | - | - |
| 5 | Lululemon Athletica | 11.30 Bn | 5.55 Bn | 1.46 Bn | - |
| 6 | Levi Strauss | 8.13 Bn | 4.71 Bn | 1.07 Bn | - |
| 7 | V F | 6.69 Bn | 3.31 Bn | 917.04 Mn | - |
| 8 | Gildan Activewear | 6.44 Bn | 5.36 Bn | 459.76 Mn | - |
| 9 | Birkenstock Holding | 6.16 Bn | 4.48 Bn | 493.89 Mn | - |
| 10 | Rocky Brands | 355.48 Mn | 344.96 Mn | 60.80 Mn | 10.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.70 Mn |
| Mar 31, 2026 | 12.22 Mn |
| Dec 31, 2025 | 14.56 Mn |
| Sep 30, 2025 | 15.48 Mn |
| Jun 30, 2025 | 15.37 Mn |
| Mar 31, 2025 | 8.34 Mn |
| Dec 31, 2024 | 11.41 Mn |
| Sep 30, 2024 | 7.50 Mn |
| Jun 30, 2024 | 119.14 Mn |
| Mar 31, 2024 | 1.75 Mn |
| Dec 31, 2023 | 5.19 Mn |
| Sep 30, 2023 | 24.10 Mn |
| Jun 30, 2023 | 22.19 Mn |
| Mar 31, 2023 | 4.21 Mn |
| Dec 31, 2022 | 6.96 Mn |
| Sep 30, 2022 | 9.71 Mn |
| Jun 30, 2022 | 17.48 Mn |
| Mar 31, 2022 | 3.34 Mn |
| Dec 31, 2021 | 35.39 Mn |
| Sep 30, 2021 | 51.99 Mn |
Rocky Brands Short-Term Debt issuances 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-issuances&ticker=RCKY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt-issuances", "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-issuances&ticker=RCKY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();