Clarus (CLAR) Amortizatization of Intangibles (2010 - 2026)
Clarus (CLAR) posted Amortizatization of Intangibles of $1.91 million for Q2 2026, down 13.9% from $2.21 million a year earlier and down 1.6% from the prior quarter.
Clarus (CLAR) Amortizatization of Intangibles (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Amortizatization of Intangibles at Clarus was $8.15 million, down 12.6% year-over-year; for FY2025, it was $8.74 million, down 10.7% from FY2024.
- Annual Amortizatization of Intangibles has declined for three consecutive years, though with a five-year compound annual growth rate of 16.5% (FY2020 to FY2025).
- In prior years, Clarus' Amortizatization of Intangibles was $9.78 million in FY2024 (-23.3%), $12.75 million in FY2023 (-16.8%), $15.33 million in FY2022 (+55.8%) and $9.83 million in FY2021 (+141.6%).
- The Q2 2026 figure stands as the lowest quarterly Amortizatization of Intangibles since Q2 2021.
- On a year-over-year basis, Amortizatization of Intangibles has declined in each of the last 15 quarters, with an average decline of 14.1% over the last eight quarters.
- The strongest year-over-year quarter for Amortizatization of Intangibles in the past five years was Q3 2021, with growth of 375.0%; the weakest was Q1 2024, with a decline of 25.2%.
- According to Business Quant data, Amortizatization of Intangibles for the three prior quarters was $1.94 million (Q1 2026), $2.15 million (Q4 2025) and $2.15 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Amer Sports | 15.15 Bn | 11.20 Bn | 1.07 Bn | - |
| 2 | Hasbro | 12.63 Bn | 8.42 Bn | 867.20 Mn | 14.60 Mn |
| 3 | Acushnet Holdings | 4.89 Bn | 4.63 Bn | 445.83 Mn | - |
| 4 | Mattel | 4.36 Bn | 1.04 Bn | 542.12 Mn | 14.83 Mn |
| 5 | YETI Holdings | 2.98 Bn | 2.30 Bn | 322.52 Mn | - |
| 6 | Callaway Golf | 2.58 Bn | 33.08 Mn | 306.70 Mn | - |
| 7 | Peloton Interactive | 2.16 Bn | -2.46 Bn | 344.40 Mn | - |
| 8 | Unusual Machines | 1.12 Bn | 655.02 Mn | 5.80 Mn | - |
| 9 | Sturm Ruger | 708.48 Mn | 312.48 Mn | 33.74 Mn | - |
| 10 | Clarus | 132.09 Mn | 7.16 Mn | 27.47 Mn | 1.91 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.91 Mn |
| Mar 31, 2026 | 1.94 Mn |
| Dec 31, 2025 | 2.15 Mn |
| Sep 30, 2025 | 2.15 Mn |
| Jun 30, 2025 | 2.21 Mn |
| Mar 31, 2025 | 2.22 Mn |
| Dec 31, 2024 | 2.47 Mn |
| Sep 30, 2024 | 2.42 Mn |
| Jun 30, 2024 | 2.45 Mn |
| Mar 31, 2024 | 2.45 Mn |
| Dec 31, 2023 | 3.19 Mn |
| Sep 30, 2023 | 3.06 Mn |
| Jun 30, 2023 | 3.22 Mn |
| Mar 31, 2023 | 3.28 Mn |
| Dec 31, 2022 | 3.59 Mn |
| Sep 30, 2022 | 3.68 Mn |
| Jun 30, 2022 | 3.94 Mn |
| Mar 31, 2022 | 4.12 Mn |
| Dec 31, 2021 | 3.86 Mn |
| Sep 30, 2021 | 3.58 Mn |
Clarus Amortizatization of Intangibles 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=amortizatization-of-intangibles&ticker=CLAR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "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=amortizatization-of-intangibles&ticker=CLAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();