Peloton Interactive (PTON) Other Operating Expenses (2018 - 2026)
Peloton Interactive's Other Operating Expenses came in at $83.4 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 9.7% from $92.4 million a year earlier and down 17.8% from the prior quarter.
Peloton Interactive (PTON) Other Operating Expenses (2018 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Peloton Interactive's Other Operating Expenses was $435 million, down 14.6% from FY2025.
- Other Operating Expenses has declined in each of the last four fiscal years, with a five-year compound annual growth rate of -9.9% (FY2021 to FY2026).
- Going back by fiscal year, Other Operating Expenses was $509.2 million in FY2025 (-28.6%), $713.6 million in FY2024 (-12.4%), $814.7 million in FY2023 (-57.8%) and $1.93 billion in FY2022 (+163.2%).
- The five-year range for quarterly Other Operating Expenses is $75.1 million (fiscal Q1 2026) to $843.8 million (fiscal Q4 2022).
- Year-over-year, Other Operating Expenses increased in 1 of the last eight quarters, with an average decline of 22.3%.
- The fastest year-over-year change in Other Operating Expenses over five years came in fiscal Q4 2022 (growth of 262.8%), and the weakest in fiscal Q4 2023 (a decline of 79.8%).
- Business Quant data shows PTON's Other Operating Expenses at $101.5 million (Q3 2026), $175 million (Q2 2026) and $75.1 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amer Sports | 15.22 Bn | 11.27 Bn | 1.07 Bn |
| 2 | Hasbro | 12.37 Bn | 8.16 Bn | 867.20 Mn |
| 3 | Acushnet Holdings | 4.82 Bn | 4.56 Bn | 445.83 Mn |
| 4 | Mattel | 3.62 Bn | 292.28 Mn | 542.12 Mn |
| 5 | YETI Holdings | 2.99 Bn | 2.31 Bn | 322.52 Mn |
| 6 | Callaway Golf | 2.52 Bn | -29.40 Mn | 306.70 Mn |
| 7 | Peloton Interactive | 2.19 Bn | -2.43 Bn | 344.40 Mn |
| 8 | Unusual Machines | 1.22 Bn | 760.93 Mn | 5.80 Mn |
| 9 | Sturm Ruger | 679.08 Mn | 283.08 Mn | 33.74 Mn |
| 10 | Smith & Wesson Brands | 630.45 Mn | 542.70 Mn | 32.27 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 83.40 Mn |
| Mar 31, 2026 | 101.50 Mn |
| Dec 31, 2025 | 175.00 Mn |
| Sep 30, 2025 | 75.10 Mn |
| Jun 30, 2025 | 92.40 Mn |
| Mar 31, 2025 | 137.10 Mn |
| Dec 31, 2024 | 169.40 Mn |
| Sep 30, 2024 | 110.30 Mn |
| Jun 30, 2024 | 122.60 Mn |
| Mar 31, 2024 | 188.50 Mn |
| Dec 31, 2023 | 232.40 Mn |
| Sep 30, 2023 | 170.00 Mn |
| Jun 30, 2023 | 170.40 Mn |
| Mar 31, 2023 | 196.80 Mn |
| Dec 31, 2022 | 244.80 Mn |
| Sep 30, 2022 | 202.60 Mn |
| Jun 30, 2022 | 843.80 Mn |
| Mar 31, 2022 | 442.10 Mn |
| Dec 31, 2021 | 358.30 Mn |
| Sep 30, 2021 | 284.60 Mn |
Peloton Interactive Other 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=other-operating-expenses&ticker=PTON&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=PTON&period=max&api_key=YOUR_API_KEY");
const data = await res.json();