Amer Sports (AS) Non Operating Interest Expenses (2022 - 2026)
Amer Sports (AS) reported Non Operating Interest Expenses of -$20 million for Q2 2026.
Analysis
Amer Sports (AS) Non Operating Interest Expenses (2022 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Amer Sports' Non Operating Interest Expenses came in at -$129.1 million; for FY2025, it was -$97.7 million.
- By year, Non Operating Interest Expenses came in at -$219 million in FY2024, $407 million in FY2023 (+74.9%), $232.7 million in FY2022 and -$279 million in FY2021.
- The Q2 2026 figure ranks as the highest quarterly Non Operating Interest Expenses since Q1 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Amer Sports | 15.40 Bn | 11.45 Bn | 1.07 Bn | -20.00 Mn |
| 2 | Hasbro | 12.62 Bn | 8.41 Bn | 867.20 Mn | 46.50 Mn |
| 3 | Acushnet Holdings | 4.89 Bn | 4.64 Bn | 445.83 Mn | - |
| 4 | Mattel | 3.81 Bn | 486.56 Mn | 542.12 Mn | 31.76 Mn |
| 5 | YETI Holdings | 3.16 Bn | 2.48 Bn | 322.52 Mn | - |
| 6 | Callaway Golf | 2.55 Bn | 8.09 Mn | 306.70 Mn | 4.60 Mn |
| 7 | Peloton Interactive | 2.11 Bn | -2.51 Bn | 344.40 Mn | 30.00 Mn |
| 8 | Unusual Machines | 1.19 Bn | 731.45 Mn | 5.80 Mn | 281.00 |
| 9 | Sturm Ruger | 671.09 Mn | 275.09 Mn | 33.74 Mn | 23,000.00 |
| 10 | Smith & Wesson Brands | 629.10 Mn | 541.36 Mn | 32.27 Mn | 845,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -20.00 Mn |
| Mar 31, 2026 | -24.90 Mn |
| Dec 31, 2025 | -20.10 Mn |
| Dec 31, 2024 | -64.10 Mn |
| Sep 30, 2024 | -29.53 Mn |
| Jun 30, 2024 | -28.07 Mn |
| Mar 31, 2024 | 82.30 Mn |
| Dec 31, 2023 | -109.40 Mn |
| Sep 30, 2023 | -109.40 Mn |
| Jun 30, 2023 | -67.57 Mn |
| Mar 31, 2023 | -86.10 Mn |
| Dec 31, 2022 | -44.68 Mn |
API Access
Amer Sports Non Operating Interest 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=non-operating-interest-expenses&ticker=AS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=AS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();