Amer Sports (AS) Operating Expenses (2023 - 2026)
Amer Sports' Operating Expenses came in at -$909.2 million for Q2 2026.
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Analysis
Amer Sports (AS) Operating Expenses (2023 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Amer Sports reported Operating Expenses of -$3.47 billion; for FY2025, it came in at -$3.08 billion.
- Going back by year, Operating Expenses was -$2.41 billion in FY2024, -$1.32 billion in FY2023, -$1.05 billion in FY2022 and -$1.33 billion in FY2021.
- The five-year range for quarterly Operating Expenses is -$979 million (Q4 2025) to -$297.62 million (Q2 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Amer Sports | 16.80 Bn | 14.39 Bn | 1.07 Bn | 909.20 Mn |
| 2 | Hasbro | 13.95 Bn | 9.72 Bn | 867.20 Mn | 887.10 Mn |
| 3 | Mattel | 4.88 Bn | 1.55 Bn | 542.12 Mn | - |
| 4 | Acushnet Holdings | 4.74 Bn | 4.49 Bn | 445.83 Mn | 267.00 Mn |
| 5 | YETI Holdings | 3.15 Bn | 2.46 Bn | 322.52 Mn | 229.01 Mn |
| 6 | Callaway Golf | 2.48 Bn | -67.44 Mn | 306.70 Mn | 191.90 Mn |
| 7 | Peloton Interactive | 2.23 Bn | -2.39 Bn | 344.40 Mn | 263.20 Mn |
| 8 | Unusual Machines | 796.11 Mn | 332.60 Mn | 5.80 Mn | 13.64 Mn |
| 9 | Sturm Ruger | 736.90 Mn | 340.90 Mn | 33.74 Mn | 26.11 Mn |
| 10 | Smith & Wesson Brands | 661.82 Mn | 574.08 Mn | 32.27 Mn | 28.05 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 909.20 Mn |
| Mar 31, 2026 | 856.20 Mn |
| Dec 31, 2025 | 997.60 Mn |
| Sep 30, 2025 | 776.60 Mn |
| Jun 30, 2025 | 697.80 Mn |
| Mar 31, 2025 | 641.90 Mn |
| Dec 31, 2024 | 742.50 Mn |
| Sep 30, 2024 | 586.50 Mn |
| Jun 30, 2024 | 567.80 Mn |
| Mar 31, 2024 | 543.80 Mn |
| Dec 31, 2023 | 646.00 Mn |
| Sep 30, 2023 | 488.10 Mn |
| Jun 30, 2023 | 445.30 Mn |
| Mar 31, 2023 | -422.40 Mn |
API Access
Amer Sports Operating Expenses 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=operating-expenses&ticker=AS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=AS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();