Leatt (LEAT) Selling, General & Administrative (2018 - 2026)
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Analysis
Leatt (LEAT) Selling, General & Administrative (2018 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Amer Sports | 18.10 Bn | 15.69 Bn | 1.07 Bn | 909.20 Mn |
| 2 | Hasbro | 17.03 Bn | 11.99 Bn | 1.21 Bn | 331.50 Mn |
| 3 | Acushnet Holdings | 5.01 Bn | 4.74 Bn | 321.99 Mn | 217.28 Mn |
| 4 | Mattel | 4.52 Bn | 1.20 Bn | 542.12 Mn | - |
| 5 | YETI Holdings | 3.43 Bn | 2.88 Bn | 322.52 Mn | 229.01 Mn |
| 6 | Callaway Golf | 3.12 Bn | 1.01 Bn | 226.70 Mn | 166.30 Mn |
| 7 | Peloton Interactive | 2.61 Bn | -2.24 Bn | 342.60 Mn | 92.40 Mn |
| 8 | Sturm Ruger | 810.86 Mn | 394.30 Mn | 30.52 Mn | 16.45 Mn |
| 9 | Smith & Wesson Brands | 677.49 Mn | 589.75 Mn | 32.27 Mn | 15.34 Mn |
| 10 | Leatt | 63.48 Mn | 1.81 Mn | 7.44 Mn | 1.31 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.31 Mn |
| Mar 31, 2026 | 1.21 Mn |
| Dec 31, 2025 | 1.23 Mn |
| Sep 30, 2025 | 1.03 Mn |
| Jun 30, 2025 | 1.10 Mn |
| Mar 31, 2025 | 1.01 Mn |
| Dec 31, 2024 | 966,474.00 |
| Sep 30, 2024 | 993,031.00 |
| Jun 30, 2024 | 977,160.00 |
| Mar 31, 2024 | 942,888.00 |
| Dec 31, 2023 | 921,827.00 |
| Sep 30, 2023 | 830,145.00 |
| Jun 30, 2023 | 868,595.00 |
| Mar 31, 2023 | 818,179.00 |
| Dec 31, 2022 | 873,447.00 |
| Sep 30, 2022 | 977,796.00 |
| Jun 30, 2022 | 710,351.00 |
| Mar 31, 2022 | 711,752.00 |
| Dec 31, 2021 | 620,321.00 |
| Sep 30, 2021 | 691,696.00 |
API Access
Leatt Selling, General & Administrative 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=selling-general-and-administrative&ticker=LEAT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=LEAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();