Peloton Interactive (PTON) Research & Development (2018 - 2026)
Peloton Interactive's Research & Development was $56.9 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 2.0% from $55.8 million a year earlier but down 3.2% from the prior quarter.
Peloton Interactive (PTON) Research & Development (2018 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Research & Development at Peloton Interactive came in at $242.8 million, up 3.7% from FY2025.
- Research & Development shows a five-year compound annual growth rate of -0.4% (FY2021 to FY2026).
- In earlier fiscal years, Research & Development was $234.2 million in FY2025 (-23.2%), $304.8 million in FY2024 (-4.3%), $318.4 million in FY2023 (-11.4%) and $359.5 million in FY2022 (+45.2%).
- Quarterly Research & Development has moved between $55.8 million (fiscal Q4 2025) and $99.8 million (fiscal Q2 2022) over five years.
- Compared with a year earlier, Research & Development was higher in three of the last eight quarters, with an average decline of 9.7%.
- The best year-over-year quarter for Research & Development over five years was fiscal Q1 2022 (growth of 166.9%); the worst was fiscal Q1 2025 (a decline of 25.7%).
- Per Business Quant data, PTON's Research & Development in the three fiscal quarters before Q4 2026 was $58.8 million (Q3 2026), $65 million (Q2 2026) and $62.1 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Amer Sports | 15.40 Bn | 11.45 Bn | 1.07 Bn | - |
| 2 | Hasbro | 12.62 Bn | 8.41 Bn | 867.20 Mn | 93.60 Mn |
| 3 | Acushnet Holdings | 4.89 Bn | 4.64 Bn | 445.83 Mn | 20.76 Mn |
| 4 | Mattel | 3.81 Bn | 486.56 Mn | 542.12 Mn | - |
| 5 | YETI Holdings | 3.16 Bn | 2.48 Bn | 322.52 Mn | - |
| 6 | Callaway Golf | 2.55 Bn | 8.09 Mn | 306.70 Mn | 15.80 Mn |
| 7 | Peloton Interactive | 2.11 Bn | -2.51 Bn | 344.40 Mn | 56.90 Mn |
| 8 | Unusual Machines | 1.19 Bn | 731.45 Mn | 5.80 Mn | 430,759.00 |
| 9 | Sturm Ruger | 671.09 Mn | 275.09 Mn | 33.74 Mn | - |
| 10 | Smith & Wesson Brands | 629.10 Mn | 541.36 Mn | 32.27 Mn | 2.56 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 56.90 Mn |
| Mar 31, 2026 | 58.80 Mn |
| Dec 31, 2025 | 65.00 Mn |
| Sep 30, 2025 | 62.10 Mn |
| Jun 30, 2025 | 55.80 Mn |
| Mar 31, 2025 | 59.60 Mn |
| Dec 31, 2024 | 60.30 Mn |
| Sep 30, 2024 | 58.50 Mn |
| Jun 30, 2024 | 69.40 Mn |
| Mar 31, 2024 | 76.80 Mn |
| Dec 31, 2023 | 79.90 Mn |
| Sep 30, 2023 | 78.70 Mn |
| Jun 30, 2023 | 72.10 Mn |
| Mar 31, 2023 | 78.20 Mn |
| Dec 31, 2022 | 80.00 Mn |
| Sep 30, 2022 | 88.10 Mn |
| Jun 30, 2022 | 84.90 Mn |
| Mar 31, 2022 | 77.10 Mn |
| Dec 31, 2021 | 99.80 Mn |
| Sep 30, 2021 | 97.70 Mn |
Peloton Interactive Research & Development 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=research-and-development&ticker=PTON&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=PTON&period=max&api_key=YOUR_API_KEY");
const data = await res.json();