Amer Sports (AS) Net Margin (2023 - 2026)
Amer Sports (AS) reported Net Margin of 1.02% for Q2 2026, down 2.63 percentage points from the prior quarter.
Amer Sports (AS) Net Margin (2023 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Amer Sports' Net Margin came in at 3.68%; for FY2025, it was -4.59%, down 6.57 percentage points from FY2024.
- Net Margin has a four-year change of -0.47 percentage points (FY2021 to FY2025).
- By year, Net Margin came in at 1.98% in FY2024 (-4.57 pp), 6.55% in FY2023 (+16.80 pp), -10.25% in FY2022 (-6.13 pp) and -4.12% in FY2021.
- Five-year quarterly Net Margin spans a low of -12.37% in Q4 2022 and a high of 21.17% in Q4 2023.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Amer Sports | 16.80 Bn | 14.39 Bn | 1.07 Bn | 6.57% |
| 2 | Hasbro | 13.95 Bn | 9.72 Bn | 867.20 Mn | 14.12% |
| 3 | Mattel | 4.88 Bn | 1.55 Bn | 542.12 Mn | -1.62% |
| 4 | Acushnet Holdings | 4.74 Bn | 4.49 Bn | 445.83 Mn | 15.22% |
| 5 | YETI Holdings | 3.15 Bn | 2.46 Bn | 322.52 Mn | 14.74% |
| 6 | Callaway Golf | 2.48 Bn | -67.44 Mn | 306.70 Mn | 12.28% |
| 7 | Peloton Interactive | 2.23 Bn | -2.39 Bn | 344.40 Mn | 10.14% |
| 8 | Unusual Machines | 796.11 Mn | 332.60 Mn | 5.80 Mn | -46.55% |
| 9 | Sturm Ruger | 736.90 Mn | 340.90 Mn | 33.74 Mn | 4.42% |
| 10 | Smith & Wesson Brands | 661.82 Mn | 574.08 Mn | 32.27 Mn | 2.30% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.57% |
| Mar 31, 2026 | 8.46% |
| Dec 31, 2025 | 6.26% |
| Sep 30, 2025 | 8.15% |
| Jun 30, 2025 | 1.47% |
| Mar 31, 2025 | 9.14% |
| Dec 31, 2024 | 0.94% |
| Sep 30, 2024 | 4.12% |
| Jun 30, 2024 | -0.37% |
| Mar 31, 2024 | 0.43% |
| Dec 31, 2023 | -7.01% |
| Sep 30, 2023 | -3.27% |
| Jun 30, 2023 | -11.31% |
| Mar 31, 2023 | 1.81% |
Amer Sports Net Margin 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=net-margin&ticker=AS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "ticker": "AS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=net-margin&ticker=AS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();