Leatt (LEAT) EV to EBITDA (2017 - 2026)
Leatt's EV to EBITDA was 9.02 in Q2 2026, down 31.4% from 13.15 a year earlier but up 42.9% from the prior quarter.
Leatt (LEAT) EV to EBITDA (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, Leatt's EV to EBITDA was 2.10 through Jun 30, 2026, up 129.2% year-over-year; for FY2025, it was 8.43.
- In earlier years, EV to EBITDA was 18.51 in FY2023 (+145.7%), 7.53 in FY2022 (-25.9%) and 10.16 in FY2021 (+82.4%).
- Quarterly EV to EBITDA has moved between 5.20 (Q3 2022) and 100.28 (Q1 2024) over five years.
- The best year-over-year quarter for EV to EBITDA over five years was Q3 2023 (growth of 342.2%); the worst was Q1 2026 (a decline of 89.5%).
- Per Business Quant data, LEAT's EV to EBITDA in the three quarters before Q2 2026 was 6.31 (Q1 2026), 8.43 (Q4 2025) and 17.01 (Q3 2025).
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 | Leatt | 73.17 Mn | 11.51 Mn | 7.44 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.02 |
| Mar 31, 2026 | 6.31 |
| Dec 31, 2025 | 8.43 |
| Sep 30, 2025 | 17.01 |
| Jun 30, 2025 | 13.15 |
| Mar 31, 2025 | 59.84 |
| Mar 31, 2024 | 100.28 |
| Dec 31, 2023 | 18.51 |
| Sep 30, 2023 | 22.98 |
| Jun 30, 2023 | 7.51 |
| Mar 31, 2023 | 5.41 |
| Dec 31, 2022 | 7.53 |
| Sep 30, 2022 | 5.20 |
| Jun 30, 2022 | 6.02 |
| Mar 31, 2022 | 7.60 |
| Dec 31, 2021 | 10.16 |
| Sep 30, 2021 | 8.61 |
| Jun 30, 2021 | 8.74 |
| Mar 31, 2021 | 8.04 |
| Dec 31, 2020 | 5.57 |
Leatt EV to EBITDA 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-ebitda&ticker=LEAT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "LEAT", "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-ebitda&ticker=LEAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();