Leatt (LEAT) EV to EBIT (2017 - 2026)
Leatt's (LEAT) EV to EBIT stood at 11.86 in Q2 2026, down 47.9% from 22.78 a year earlier but up 43.6% from the prior quarter.
Leatt (LEAT) EV to EBIT (2017 - 2026) Analysis & Trends
On a TTM basis, Leatt's EV to EBIT came in at 2.77 as of Jun 30, 2026, up 74.0% year-over-year; for FY2025, it came in at 11.22.
- Across earlier years, EV to EBIT came in at 33.85 in FY2023 (+314.3%), 8.17 in FY2022 (-24.3%) and 10.79 in FY2021 (+69.5%).
- Quarterly EV to EBIT has ranged from 5.49 in Q3 2022 to 40.33 in Q3 2023 over the past five years.
- Peak year-over-year performance for EV to EBIT in the last five years was growth of 634.8% in Q3 2023, against a decline of 47.9% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at 8.26 (Q1 2026), 11.22 (Q4 2025) and 26.50 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amer Sports | 18.10 Bn | 15.69 Bn | 1.07 Bn |
| 2 | Hasbro | 17.03 Bn | 11.99 Bn | 1.21 Bn |
| 3 | Acushnet Holdings | 5.01 Bn | 4.74 Bn | 321.99 Mn |
| 4 | Mattel | 4.52 Bn | 1.20 Bn | 542.12 Mn |
| 5 | YETI Holdings | 3.43 Bn | 2.88 Bn | 322.52 Mn |
| 6 | Callaway Golf | 3.12 Bn | 1.01 Bn | 226.70 Mn |
| 7 | Peloton Interactive | 2.61 Bn | -2.24 Bn | 342.60 Mn |
| 8 | Sturm Ruger | 810.86 Mn | 394.30 Mn | 30.52 Mn |
| 9 | Smith & Wesson Brands | 677.49 Mn | 589.75 Mn | 32.27 Mn |
| 10 | Leatt | 63.48 Mn | 1.81 Mn | 7.44 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.86 |
| Mar 31, 2026 | 8.26 |
| Dec 31, 2025 | 11.22 |
| Sep 30, 2025 | 26.50 |
| Jun 30, 2025 | 22.78 |
| Dec 31, 2023 | 33.85 |
| Sep 30, 2023 | 40.33 |
| Jun 30, 2023 | 8.81 |
| Mar 31, 2023 | 6.08 |
| Dec 31, 2022 | 8.17 |
| Sep 30, 2022 | 5.49 |
| Jun 30, 2022 | 6.36 |
| Mar 31, 2022 | 8.01 |
| Dec 31, 2021 | 10.79 |
| Sep 30, 2021 | 9.22 |
| Jun 30, 2021 | 9.53 |
| Mar 31, 2021 | 8.91 |
| Dec 31, 2020 | 6.37 |
| Sep 30, 2020 | 8.02 |
| Jun 30, 2020 | 3.68 |
Leatt EV to EBIT 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-ebit&ticker=LEAT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebit", "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-ebit&ticker=LEAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();