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.
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Analysis
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 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 | 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 |
API Access
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_KEYimport 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();