Amer Sports (AS) EBITDA (2023 - 2026)
Amer Sports (AS) reported EBITDA of $304.2 million for Q2 2026, down 28.2% from the prior quarter.
Analysis
Amer Sports (AS) EBITDA (2023 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Amer Sports' EBITDA came in at $1.33 billion; for FY2025, it was $1.09 billion, up 45.9% from FY2024.
- EBITDA has increased for three consecutive years, with a four-year compound annual growth rate of 28.9% (FY2021 to FY2025).
- By year, EBITDA came in at $744.6 million in FY2024 (+114.0%), $347.92 million in FY2023 (+102.2%), $172.09 million in FY2022 (-56.2%) and $393 million in FY2021.
- The Q2 2026 figure ranks as the lowest quarterly EBITDA since Q4 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Amer Sports | 16.80 Bn | 14.39 Bn | 1.07 Bn | 304.20 Mn |
| 2 | Hasbro | 13.95 Bn | 9.72 Bn | 867.20 Mn | 284.50 Mn |
| 3 | Mattel | 4.88 Bn | 1.55 Bn | 542.12 Mn | 59.60 Mn |
| 4 | Acushnet Holdings | 4.74 Bn | 4.49 Bn | 445.83 Mn | 190.31 Mn |
| 5 | YETI Holdings | 3.15 Bn | 2.46 Bn | 322.52 Mn | - |
| 6 | Callaway Golf | 2.48 Bn | -67.44 Mn | 306.70 Mn | 124.90 Mn |
| 7 | Peloton Interactive | 2.23 Bn | -2.39 Bn | 344.40 Mn | 95.10 Mn |
| 8 | Unusual Machines | 796.11 Mn | 332.60 Mn | 5.80 Mn | -7.76 Mn |
| 9 | Sturm Ruger | 736.90 Mn | 340.90 Mn | 33.74 Mn | 14.01 Mn |
| 10 | Smith & Wesson Brands | 661.82 Mn | 574.08 Mn | 32.27 Mn | 11.92 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 304.20 Mn |
| Mar 31, 2026 | 423.70 Mn |
| Dec 31, 2025 | 334.30 Mn |
| Sep 30, 2025 | 334.70 Mn |
| Jun 30, 2025 | 125.10 Mn |
| Mar 31, 2025 | 291.90 Mn |
| Dec 31, 2024 | 270.90 Mn |
| Sep 30, 2024 | 296.80 Mn |
| Jun 30, 2024 | 102.00 Mn |
| Mar 31, 2024 | 253.80 Mn |
| Dec 31, 2023 | 122.30 Mn |
| Sep 30, 2023 | 268.20 Mn |
| Jun 30, 2023 | 161.00 Mn |
| Mar 31, 2023 | 268.50 Mn |
API Access
Amer Sports 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=ebitda&ticker=AS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=AS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();