Clarus (CLAR) Total Non-Current Liabilities (2010 - 2026)
Clarus (CLAR) posted Total Non-Current Liabilities of $40.33 million for Q2 2026, down 18.5% from $49.49 million a year earlier but up 2.4% from the prior quarter.
Clarus (CLAR) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Clarus' Total Non-Current Liabilities came in at $41.91 million, down 13.1% from FY2024.
- Annual Total Non-Current Liabilities has declined for four consecutive years, with a five-year compound annual growth rate of -10.1% (FY2020 to FY2025).
- In prior years, Clarus' Total Non-Current Liabilities was $48.25 million in FY2024 (-74.5%), $189.06 million in FY2023 (-10.1%), $210.18 million in FY2022 (-12.5%) and $240.21 million in FY2021 (+236.1%).
- Quarterly Total Non-Current Liabilities has run from a low of $39.4 million in Q1 2026 to a high of $283.7 million in Q3 2021 over five years.
- On a year-over-year basis, Total Non-Current Liabilities has declined in each of the last 16 quarters, with an average decline of 27.5% over the last eight quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q1 2022, with growth of 313.0%; the weakest was Q4 2024, with a decline of 74.5%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $39.4 million (Q1 2026), $41.91 million (Q4 2025) and $46.01 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amer Sports | 16.57 Bn | 14.16 Bn | 1.07 Bn | 1.37 Bn |
| 2 | Hasbro | 15.58 Bn | 11.35 Bn | 867.20 Mn | 4.76 Bn |
| 3 | Acushnet Holdings | 4.83 Bn | 4.57 Bn | 445.83 Mn | 1.53 Bn |
| 4 | Mattel | 4.79 Bn | 1.47 Bn | 542.12 Mn | 3.07 Bn |
| 5 | YETI Holdings | 3.20 Bn | 2.51 Bn | 322.52 Mn | 642.79 Mn |
| 6 | Callaway Golf | 2.53 Bn | -11.73 Mn | 306.70 Mn | 590.50 Mn |
| 7 | Peloton Interactive | 2.29 Bn | -2.33 Bn | 344.40 Mn | 2.16 Bn |
| 8 | Unusual Machines | 832.47 Mn | 368.96 Mn | 5.80 Mn | 2.57 Mn |
| 9 | Sturm Ruger | 796.10 Mn | 400.10 Mn | 33.74 Mn | - |
| 10 | Clarus | 140.05 Mn | 15.11 Mn | 27.47 Mn | 40.33 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 40.33 Mn |
| Mar 31, 2026 | 39.40 Mn |
| Dec 31, 2025 | 41.91 Mn |
| Sep 30, 2025 | 46.01 Mn |
| Jun 30, 2025 | 49.49 Mn |
| Mar 31, 2025 | 51.24 Mn |
| Dec 31, 2024 | 48.25 Mn |
| Sep 30, 2024 | 54.22 Mn |
| Jun 30, 2024 | 49.59 Mn |
| Mar 31, 2024 | 53.43 Mn |
| Dec 31, 2023 | 189.06 Mn |
| Sep 30, 2023 | 191.48 Mn |
| Jun 30, 2023 | 190.52 Mn |
| Mar 31, 2023 | 203.29 Mn |
| Dec 31, 2022 | 210.18 Mn |
| Sep 30, 2022 | 248.88 Mn |
| Jun 30, 2022 | 243.36 Mn |
| Mar 31, 2022 | 254.94 Mn |
| Dec 31, 2021 | 240.21 Mn |
| Sep 30, 2021 | 283.70 Mn |
Clarus Total Non-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-non-current-liabilities&ticker=CLAR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=CLAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();