Clarus (CLAR) EV to CFO (2013 - 2026)
Clarus' EV to CFO came in at 21.04 for Q2 2026.
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Analysis
Clarus (CLAR) EV to CFO (2013 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Clarus reported EV to CFO of -0.99; for FY2023, it came in at 7.89, down 58.6% from FY2022.
- Going back by year, EV to CFO was 19.06 in FY2022, 15.76 in FY2020 (-62.6%) and 42.11 in FY2019 (+61.0%).
- The Q2 2026 figure represents the highest quarterly EV to CFO since Q2 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amer Sports | 15.40 Bn | 11.45 Bn | 1.07 Bn |
| 2 | Hasbro | 12.62 Bn | 8.41 Bn | 867.20 Mn |
| 3 | Acushnet Holdings | 4.89 Bn | 4.64 Bn | 445.83 Mn |
| 4 | Mattel | 3.81 Bn | 486.56 Mn | 542.12 Mn |
| 5 | YETI Holdings | 3.16 Bn | 2.48 Bn | 322.52 Mn |
| 6 | Callaway Golf | 2.55 Bn | 8.09 Mn | 306.70 Mn |
| 7 | Peloton Interactive | 2.11 Bn | -2.51 Bn | 344.40 Mn |
| 8 | Unusual Machines | 1.19 Bn | 731.45 Mn | 5.80 Mn |
| 9 | Sturm Ruger | 671.09 Mn | 275.09 Mn | 33.74 Mn |
| 10 | Clarus | 134.01 Mn | 9.08 Mn | 27.47 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21.04 |
| Mar 31, 2025 | 14.70 |
| Mar 31, 2024 | 17.03 |
| Dec 31, 2023 | 7.89 |
| Sep 30, 2023 | 5.60 |
| Jun 30, 2023 | 8.62 |
| Mar 31, 2023 | 11.93 |
| Dec 31, 2022 | 19.06 |
| Jun 30, 2021 | 52.40 |
| Mar 31, 2021 | 22.56 |
| Dec 31, 2020 | 15.76 |
| Sep 30, 2020 | 16.90 |
| Jun 30, 2020 | 22.67 |
| Mar 31, 2020 | 38.03 |
| Dec 31, 2019 | 42.11 |
| Sep 30, 2019 | 36.80 |
| Jun 30, 2019 | 32.71 |
| Mar 31, 2019 | 38.37 |
| Dec 31, 2018 | 26.15 |
| Sep 30, 2018 | 21.36 |
API Access
Clarus EV to CFO 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=ev-to-cfo&ticker=CLAR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-cfo", "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=ev-to-cfo&ticker=CLAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();