Peloton Interactive (PTON) Operating Leases (2019 - 2026)
Peloton Interactive (PTON) reported Operating Leases of $347.7 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 14.7% from $407.5 million a year earlier and down 4.7% from the prior quarter.
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Analysis
Peloton Interactive (PTON) Operating Leases (2019 - 2026) Analysis & Trends
Dating back to fiscal Q1 2020, Peloton Interactive's Operating Leases record includes 28 quarters.
- Operating Leases has declined for four consecutive fiscal years, with a five-year compound annual growth rate of -10.9% (FY2021 to FY2026).
- By fiscal year, Operating Leases came in at $407.5 million in FY2025 (-19.0%), $503.3 million in FY2024 (-15.2%), $593.8 million in FY2023 (-18.1%) and $725.4 million in FY2022 (+16.9%).
- The fiscal Q4 2026 figure ranks as the lowest quarterly Operating Leases in data going back to fiscal Q1 2020.
- Year over year, Operating Leases has now declined in each of the last 16 quarters, with an average decline of 17.6% over the last eight quarters.
- The high point for year-over-year Operating Leases in five years was fiscal Q1 2022 (growth of 31.2%); the low point was fiscal Q3 2025 (a decline of 22.3%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $364.9 million (Q3 2026), $380.8 million (Q2 2026) and $396.3 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amer Sports | 17.95 Bn | 15.54 Bn | 1.07 Bn |
| 2 | Hasbro | 17.24 Bn | 12.20 Bn | 1.21 Bn |
| 3 | Acushnet Holdings | 4.87 Bn | 4.59 Bn | 321.99 Mn |
| 4 | Mattel | 4.52 Bn | 1.20 Bn | 542.12 Mn |
| 5 | YETI Holdings | 3.36 Bn | 2.82 Bn | 322.52 Mn |
| 6 | Callaway Golf | 3.08 Bn | 965.15 Mn | 226.70 Mn |
| 7 | Peloton Interactive | 2.53 Bn | -2.33 Bn | 342.60 Mn |
| 8 | Sturm Ruger | 794.18 Mn | 377.63 Mn | 30.52 Mn |
| 9 | Smith & Wesson Brands | 654.88 Mn | 567.14 Mn | 32.27 Mn |
| 10 | Unusual Machines | 610.11 Mn | -295.92 Mn | 4.92 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 335.80 Mn |
| Jun 30, 2026 | 347.70 Mn |
| Mar 31, 2026 | 364.90 Mn |
| Dec 31, 2025 | 380.80 Mn |
| Sep 30, 2025 | 396.30 Mn |
| Jun 30, 2025 | 407.50 Mn |
| Mar 31, 2025 | 422.20 Mn |
| Dec 31, 2024 | 457.10 Mn |
| Sep 30, 2024 | 482.00 Mn |
| Jun 30, 2024 | 503.30 Mn |
| Mar 31, 2024 | 543.50 Mn |
| Dec 31, 2023 | 566.30 Mn |
| Sep 30, 2023 | 585.70 Mn |
| Jun 30, 2023 | 593.80 Mn |
| Mar 31, 2023 | 619.50 Mn |
| Dec 31, 2022 | 647.20 Mn |
| Sep 30, 2022 | 691.60 Mn |
| Jun 30, 2022 | 725.40 Mn |
| Mar 31, 2022 | 736.00 Mn |
| Dec 31, 2021 | 743.70 Mn |
API Access
Peloton Interactive Operating Leases 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-leases&ticker=PTON&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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-leases&ticker=PTON&period=max&api_key=YOUR_API_KEY");
const data = await res.json();