Clarus (CLAR) Operating Expenses (2010 - 2026)
Clarus (CLAR) recorded Operating Expenses of $22.91 million in Q2 2026, down 25.1% from $30.58 million a year earlier and down 20.5% from the prior quarter.
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Analysis
Clarus (CLAR) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Clarus' Operating Expenses came in at $136.26 million as of Jun 30, 2026, down 15.3% year-over-year; for FY2025, it was $142.66 million, down 12.5% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 14.1% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $163 million in FY2024 (+37.4%), $118.62 million in FY2023 (-45.2%), $216.44 million in FY2022 (+115.2%) and $100.58 million in FY2021 (+36.2%).
- The Q2 2026 figure is the lowest quarterly Operating Expenses since Q4 2021.
- On a year-over-year basis, Operating Expenses rose in three of the last eight quarters, with growth averaging 8.8%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 503.8% in Q4 2022, against a decline of 71.0% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $28.83 million (Q1 2026), $57.13 million (Q4 2025) and $27.39 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Amer Sports | 15.40 Bn | 11.45 Bn | 1.07 Bn | -909.20 Mn |
| 2 | Hasbro | 12.62 Bn | 8.41 Bn | 867.20 Mn | 887.10 Mn |
| 3 | Acushnet Holdings | 4.89 Bn | 4.64 Bn | 445.83 Mn | 267.00 Mn |
| 4 | Mattel | 3.81 Bn | 486.56 Mn | 542.12 Mn | - |
| 5 | YETI Holdings | 3.16 Bn | 2.48 Bn | 322.52 Mn | 229.01 Mn |
| 6 | Callaway Golf | 2.55 Bn | 8.09 Mn | 306.70 Mn | 191.90 Mn |
| 7 | Peloton Interactive | 2.11 Bn | -2.51 Bn | 344.40 Mn | 263.20 Mn |
| 8 | Unusual Machines | 1.19 Bn | 731.45 Mn | 5.80 Mn | 13.64 Mn |
| 9 | Sturm Ruger | 671.09 Mn | 275.09 Mn | 33.74 Mn | 26.11 Mn |
| 10 | Clarus | 134.01 Mn | 9.08 Mn | 27.47 Mn | 22.91 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.91 Mn |
| Mar 31, 2026 | 28.83 Mn |
| Dec 31, 2025 | 57.13 Mn |
| Sep 30, 2025 | 27.39 Mn |
| Jun 30, 2025 | 30.58 Mn |
| Mar 31, 2025 | 27.56 Mn |
| Dec 31, 2024 | 73.98 Mn |
| Sep 30, 2024 | 28.86 Mn |
| Jun 30, 2024 | 28.54 Mn |
| Mar 31, 2024 | 31.63 Mn |
| Dec 31, 2023 | 32.21 Mn |
| Sep 30, 2023 | 30.46 Mn |
| Jun 30, 2023 | 28.00 Mn |
| Mar 31, 2023 | 27.95 Mn |
| Dec 31, 2022 | 111.10 Mn |
| Sep 30, 2022 | 33.30 Mn |
| Jun 30, 2022 | 35.89 Mn |
| Mar 31, 2022 | 36.14 Mn |
| Dec 31, 2021 | 18.40 Mn |
| Sep 30, 2021 | 39.46 Mn |
API Access
Clarus Operating Expenses 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=operating-expenses&ticker=CLAR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=CLAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();