Acushnet Holdings (GOLF) Operating Expenses (2015 - 2026)
Acushnet Holdings (GOLF) reported Operating Expenses of $267 million for Q2 2026, up 10.8% from $240.94 million a year earlier and up 14.7% from the prior quarter.
Acushnet Holdings (GOLF) Operating Expenses (2015 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Acushnet Holdings' Operating Expenses came in at $949.73 million, up 6.9% year-over-year; for FY2025, it was $909.93 million, up 4.7% from FY2024.
- Operating Expenses has increased for three consecutive years, with a five-year compound annual growth rate of 6.2% (FY2020 to FY2025).
- By year, Operating Expenses came in at $869.44 million in FY2024 (+6.0%), $820.51 million in FY2023 (+8.1%), $759.27 million in FY2022 (-10.8%) and $850.76 million in FY2021 (+26.5%).
- The Q2 2026 figure ranks as the highest quarterly Operating Expenses in data going back to Q3 2015.
- Year over year, Operating Expenses has now increased in each of the last seven quarters, with growth averaging 18.1% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q4 2024 (growth of 112.6%); the low point was Q4 2022 (a decline of 64.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $232.87 million (Q1 2026), $226.33 million (Q4 2025) and $223.54 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Amer Sports | 17.51 Bn | 15.10 Bn | 1.07 Bn | 909.20 Mn |
| 2 | Hasbro | 16.75 Bn | 11.71 Bn | 1.21 Bn | 1.08 Bn |
| 3 | Acushnet Holdings | 4.79 Bn | 4.52 Bn | 321.99 Mn | 236.71 Mn |
| 4 | Mattel | 4.43 Bn | 1.11 Bn | 542.12 Mn | - |
| 5 | YETI Holdings | 3.36 Bn | 2.82 Bn | 322.52 Mn | 229.01 Mn |
| 6 | Callaway Golf | 2.98 Bn | 868.19 Mn | 226.70 Mn | 182.00 Mn |
| 7 | Peloton Interactive | 2.49 Bn | -2.37 Bn | 342.60 Mn | 226.20 Mn |
| 8 | Sturm Ruger | 799.29 Mn | 382.73 Mn | 30.52 Mn | 24.54 Mn |
| 9 | Smith & Wesson Brands | 647.27 Mn | 559.52 Mn | 32.27 Mn | 28.05 Mn |
| 10 | Unusual Machines | 592.37 Mn | -313.66 Mn | 4.92 Mn | 13.28 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 236.71 Mn |
| Jun 30, 2026 | 267.00 Mn |
| Mar 31, 2026 | 232.87 Mn |
| Dec 31, 2025 | 226.33 Mn |
| Sep 30, 2025 | 223.54 Mn |
| Jun 30, 2025 | 240.94 Mn |
| Mar 31, 2025 | 219.12 Mn |
| Dec 31, 2024 | 209.41 Mn |
| Sep 30, 2024 | 218.64 Mn |
| Jun 30, 2024 | 223.93 Mn |
| Mar 31, 2024 | 217.46 Mn |
| Dec 31, 2023 | 98.50 Mn |
| Sep 30, 2023 | 226.41 Mn |
| Jun 30, 2023 | 258.52 Mn |
| Mar 31, 2023 | 237.08 Mn |
| Dec 31, 2022 | 79.46 Mn |
| Sep 30, 2022 | 217.04 Mn |
| Jun 30, 2022 | 253.11 Mn |
| Mar 31, 2022 | 209.67 Mn |
| Dec 31, 2021 | 224.40 Mn |
Acushnet Holdings 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=GOLF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "GOLF", "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=GOLF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();