Rocky Brands (RCKY) Total Current Liabilities (2010 - 2026)
Rocky Brands' Total Current Liabilities was $93.87 million in Q2 2026, down 1.0% from $94.78 million a year earlier but up 2.1% from the prior quarter.
Rocky Brands (RCKY) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Total Current Liabilities at Rocky Brands came in at $96.13 million, up 6.3% from FY2024.
- Total Current Liabilities shows a five-year compound annual growth rate of 19.2% (FY2020 to FY2025).
- In earlier years, Total Current Liabilities was $90.41 million in FY2024 (+26.4%), $71.53 million in FY2023 (-25.7%), $96.29 million in FY2022 (-31.3%) and $140.14 million in FY2021 (+250.5%).
- Quarterly Total Current Liabilities has moved between $71.53 million (Q4 2023) and $196.49 million (Q1 2022) over five years.
- Compared with a year earlier, Total Current Liabilities was higher in six of the last eight quarters, with growth averaging 10.2%.
- The best year-over-year quarter for Total Current Liabilities over five years was Q4 2021 (growth of 250.5%); the worst was Q1 2023 (a decline of 53.7%).
- Per Business Quant data, RCKY's Total Current Liabilities in the three quarters before Q2 2026 was $91.93 million (Q1 2026), $96.13 million (Q4 2025) and $104.16 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | 12.55 Bn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 1.65 Bn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 1.88 Bn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | 804.07 Mn |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 1.80 Bn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 1.85 Bn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 2.35 Bn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | 37.55 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 728.03 Mn |
| 10 | Rocky Brands | 334.63 Mn | 324.12 Mn | 60.80 Mn | 93.87 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 93.87 Mn |
| Mar 31, 2026 | 91.93 Mn |
| Dec 31, 2025 | 96.13 Mn |
| Sep 30, 2025 | 104.16 Mn |
| Jun 30, 2025 | 94.78 Mn |
| Mar 31, 2025 | 98.09 Mn |
| Dec 31, 2024 | 90.41 Mn |
| Sep 30, 2024 | 92.35 Mn |
| Jun 30, 2024 | 86.85 Mn |
| Mar 31, 2024 | 74.75 Mn |
| Dec 31, 2023 | 71.53 Mn |
| Sep 30, 2023 | 89.70 Mn |
| Jun 30, 2023 | 90.37 Mn |
| Mar 31, 2023 | 90.99 Mn |
| Dec 31, 2022 | 96.29 Mn |
| Sep 30, 2022 | 131.70 Mn |
| Jun 30, 2022 | 164.30 Mn |
| Mar 31, 2022 | 196.49 Mn |
| Dec 31, 2021 | 140.14 Mn |
| Sep 30, 2021 | 114.35 Mn |
Rocky Brands Total 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-current-liabilities&ticker=RCKY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=RCKY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();