Clarus (CLAR) Total Liabilities (2010 - 2026)
Clarus' Total Liabilities was $56.76 million in Q2 2026, down 7.5% from $61.39 million a year earlier but up 14.4% from the prior quarter.
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Analysis
Clarus (CLAR) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Clarus came in at $52.64 million, down 13.7% from FY2024.
- Total Liabilities has now declined for four consecutive years, with a five-year compound annual growth rate of -7.1% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $61 million in FY2024 (-70.0%), $203.22 million in FY2023 (-10.1%), $226.04 million in FY2022 (-13.6%) and $261.66 million in FY2021 (+243.8%).
- Quarterly Total Liabilities has moved between $49.61 million (Q1 2026) and $303.15 million (Q3 2021) over five years.
- Compared with a year earlier, Total Liabilities has declined for 16 straight quarters, with an average decline of 25.1% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was Q3 2021 (growth of 317.8%); the worst was Q2 2024 (a decline of 70.1%).
- Per Business Quant data, CLAR's Total Liabilities in the three quarters before Q2 2026 was $49.61 million (Q1 2026), $52.64 million (Q4 2025) and $57.27 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amer Sports | 15.40 Bn | 11.45 Bn | 1.07 Bn | 3.34 Bn |
| 2 | Hasbro | 12.62 Bn | 8.41 Bn | 867.20 Mn | 5.31 Bn |
| 3 | Acushnet Holdings | 4.89 Bn | 4.64 Bn | 445.83 Mn | 1.65 Bn |
| 4 | Mattel | 3.81 Bn | 486.56 Mn | 542.12 Mn | 4.36 Bn |
| 5 | YETI Holdings | 3.16 Bn | 2.48 Bn | 322.52 Mn | 692.22 Mn |
| 6 | Callaway Golf | 2.55 Bn | 8.09 Mn | 306.70 Mn | 620.50 Mn |
| 7 | Peloton Interactive | 2.11 Bn | -2.51 Bn | 344.40 Mn | 2.20 Bn |
| 8 | Unusual Machines | 1.19 Bn | 731.45 Mn | 5.80 Mn | 9.45 Mn |
| 9 | Sturm Ruger | 671.09 Mn | 275.09 Mn | 33.74 Mn | 74.49 Mn |
| 10 | Clarus | 134.01 Mn | 9.08 Mn | 27.47 Mn | 56.76 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 56.76 Mn |
| Mar 31, 2026 | 49.61 Mn |
| Dec 31, 2025 | 52.64 Mn |
| Sep 30, 2025 | 57.27 Mn |
| Jun 30, 2025 | 61.39 Mn |
| Mar 31, 2025 | 63.55 Mn |
| Dec 31, 2024 | 61.00 Mn |
| Sep 30, 2024 | 66.86 Mn |
| Jun 30, 2024 | 62.12 Mn |
| Mar 31, 2024 | 66.60 Mn |
| Dec 31, 2023 | 203.22 Mn |
| Sep 30, 2023 | 205.96 Mn |
| Jun 30, 2023 | 208.02 Mn |
| Mar 31, 2023 | 221.87 Mn |
| Dec 31, 2022 | 226.04 Mn |
| Sep 30, 2022 | 264.85 Mn |
| Jun 30, 2022 | 264.99 Mn |
| Mar 31, 2022 | 277.98 Mn |
| Dec 31, 2021 | 261.66 Mn |
| Sep 30, 2021 | 303.15 Mn |
API Access
Clarus Total 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-liabilities&ticker=CLAR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "CLAR", "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-liabilities&ticker=CLAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();