Peloton Interactive (PTON) Accumulated Expenses (2019 - 2026)
Peloton Interactive (PTON) recorded Accumulated Expenses of $311.2 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), down 16.5% from $372.7 million a year earlier.
Peloton Interactive (PTON) Accumulated Expenses (2019 - 2026) Analysis & Trends
Starting with fiscal Q4 2019, Peloton Interactive's Accumulated Expenses history includes 15 quarters.
- Annual Accumulated Expenses has declined for five straight fiscal years, with a five-year compound annual growth rate of -20.6% (FY2021 to FY2026).
- Across earlier fiscal years, Accumulated Expenses came in at $372.7 million in FY2025 (-13.8%), $432.3 million in FY2024 (-9.6%), $478.4 million in FY2023 (-40.0%) and $797.4 million in FY2022 (-19.4%).
- The fiscal Q4 2026 figure is the lowest quarterly Accumulated Expenses since fiscal Q3 2024.
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 | 311.20 Mn |
| Jun 30, 2025 | 372.70 Mn |
| Jun 30, 2024 | 432.30 Mn |
| Mar 31, 2024 | 8.90 Mn |
| Dec 31, 2023 | 10.00 Mn |
| Sep 30, 2023 | 10.00 Mn |
| Jun 30, 2023 | 478.40 Mn |
| Jun 30, 2022 | 797.40 Mn |
| Jun 30, 2021 | 989.10 Mn |
| Sep 30, 2020 | 246.70 Mn |
| Jun 30, 2020 | 361.70 Mn |
| Mar 31, 2020 | 151.70 Mn |
| Dec 31, 2019 | 165.30 Mn |
| Sep 30, 2019 | 116.20 Mn |
| Jun 30, 2019 | 104.50 Mn |
Peloton Interactive Accumulated 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=accumulated-expenses&ticker=PTON&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=PTON&period=max&api_key=YOUR_API_KEY");
const data = await res.json();