Peloton Interactive (PTON) Operating Expenses (2018 - 2026)
Peloton Interactive's Operating Expenses was $263.2 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), down 11.8% from $298.5 million a year earlier and down 4.2% from the prior quarter.
Peloton Interactive (PTON) Operating Expenses (2018 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Operating Expenses at Peloton Interactive came in at $1.13 billion, down 13.7% from FY2025.
- Operating Expenses has now declined for four consecutive fiscal years, with a five-year compound annual growth rate of -7.3% (FY2021 to FY2026).
- In earlier fiscal years, Operating Expenses was $1.3 billion in FY2025 (-24.8%), $1.74 billion in FY2024 (-18.2%), $2.12 billion in FY2023 (-38.2%) and $3.43 billion in FY2022 (+109.0%).
- Quarterly Operating Expenses has moved between $242.4 million (fiscal Q1 2026) and $1.18 billion (fiscal Q4 2022) over five years.
- Compared with a year earlier, Operating Expenses has declined for 16 straight quarters, with an average decline of 19.3% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was fiscal Q1 2022 (growth of 139.7%); the worst was fiscal Q4 2023 (a decline of 63.9%).
- Per Business Quant data, PTON's Operating Expenses in the three fiscal quarters before Q4 2026 was $274.8 million (Q3 2026), $345.6 million (Q2 2026) and $242.4 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Amer Sports | 15.40 Bn | 11.45 Bn | 1.07 Bn | -909.20 Mn |
| 2 | Hasbro | 12.62 Bn | 8.41 Bn | 867.20 Mn | 887.10 Mn |
| 3 | Acushnet Holdings | 4.89 Bn | 4.64 Bn | 445.83 Mn | 267.00 Mn |
| 4 | Mattel | 3.81 Bn | 486.56 Mn | 542.12 Mn | - |
| 5 | YETI Holdings | 3.16 Bn | 2.48 Bn | 322.52 Mn | 229.01 Mn |
| 6 | Callaway Golf | 2.55 Bn | 8.09 Mn | 306.70 Mn | 191.90 Mn |
| 7 | Peloton Interactive | 2.11 Bn | -2.51 Bn | 344.40 Mn | 263.20 Mn |
| 8 | Unusual Machines | 1.19 Bn | 731.45 Mn | 5.80 Mn | 13.64 Mn |
| 9 | Sturm Ruger | 671.09 Mn | 275.09 Mn | 33.74 Mn | 26.11 Mn |
| 10 | Smith & Wesson Brands | 629.10 Mn | 541.36 Mn | 32.27 Mn | 28.05 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 263.20 Mn |
| Mar 31, 2026 | 274.80 Mn |
| Dec 31, 2025 | 345.60 Mn |
| Sep 30, 2025 | 242.40 Mn |
| Jun 30, 2025 | 298.50 Mn |
| Mar 31, 2025 | 350.50 Mn |
| Dec 31, 2024 | 364.30 Mn |
| Sep 30, 2024 | 291.20 Mn |
| Jun 30, 2024 | 375.40 Mn |
| Mar 31, 2024 | 455.90 Mn |
| Dec 31, 2023 | 486.50 Mn |
| Sep 30, 2023 | 417.60 Mn |
| Jun 30, 2023 | 426.80 Mn |
| Mar 31, 2023 | 536.20 Mn |
| Dec 31, 2022 | 566.40 Mn |
| Sep 30, 2022 | 591.10 Mn |
| Jun 30, 2022 | 1.18 Bn |
| Mar 31, 2022 | 920.00 Mn |
| Dec 31, 2021 | 706.60 Mn |
| Sep 30, 2021 | 622.70 Mn |
Peloton Interactive 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=PTON&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "PTON", "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=PTON&period=max&api_key=YOUR_API_KEY");
const data = await res.json();