Peloton Interactive (PTON) Total Liabilities (2019 - 2026)
Peloton Interactive's Total Liabilities was $2.2 billion in fiscal Q4 2026 (quarter ended Jun 30, 2026), down 13.5% from $2.54 billion a year earlier and down 2.8% from the prior quarter.
Peloton Interactive (PTON) Total Liabilities (2019 - 2026) Analysis & Trends
From fiscal Q4 2019 onward, Peloton Interactive has reported Total Liabilities for 29 quarters.
- Total Liabilities has now declined for four consecutive fiscal years, with a five-year compound annual growth rate of -4.3% (FY2021 to FY2026).
- In earlier fiscal years, Total Liabilities was $2.54 billion in FY2025 (-6.1%), $2.7 billion in FY2024 (-11.7%), $3.06 billion in FY2023 (-10.8%) and $3.44 billion in FY2022 (+25.8%).
- The fiscal Q4 2026 figure marks the lowest quarterly Total Liabilities since fiscal Q2 2021.
- Compared with a year earlier, Total Liabilities has declined for 13 straight quarters, with an average decline of 10.4% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was fiscal Q1 2022 (growth of 73.4%); the worst was fiscal Q2 2025 (a decline of 15.0%).
- Per Business Quant data, PTON's Total Liabilities in the three fiscal quarters before Q4 2026 was $2.26 billion (Q3 2026), $2.49 billion (Q2 2026) and $2.52 billion (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amer Sports | 15.40 Bn | 11.45 Bn | 1.07 Bn | 3.34 Bn |
| 2 | Hasbro | 12.62 Bn | 8.41 Bn | 867.20 Mn | 5.31 Bn |
| 3 | Acushnet Holdings | 4.89 Bn | 4.64 Bn | 445.83 Mn | 1.65 Bn |
| 4 | Mattel | 3.81 Bn | 486.56 Mn | 542.12 Mn | 4.36 Bn |
| 5 | YETI Holdings | 3.16 Bn | 2.48 Bn | 322.52 Mn | 692.22 Mn |
| 6 | Callaway Golf | 2.55 Bn | 8.09 Mn | 306.70 Mn | 620.50 Mn |
| 7 | Peloton Interactive | 2.11 Bn | -2.51 Bn | 344.40 Mn | 2.20 Bn |
| 8 | Unusual Machines | 1.19 Bn | 731.45 Mn | 5.80 Mn | 9.45 Mn |
| 9 | Sturm Ruger | 671.09 Mn | 275.09 Mn | 33.74 Mn | 74.49 Mn |
| 10 | Smith & Wesson Brands | 629.10 Mn | 541.36 Mn | 32.27 Mn | 149.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.20 Bn |
| Mar 31, 2026 | 2.26 Bn |
| Dec 31, 2025 | 2.49 Bn |
| Sep 30, 2025 | 2.52 Bn |
| Jun 30, 2025 | 2.54 Bn |
| Mar 31, 2025 | 2.56 Bn |
| Dec 31, 2024 | 2.61 Bn |
| Sep 30, 2024 | 2.64 Bn |
| Jun 30, 2024 | 2.70 Bn |
| Mar 31, 2024 | 3.00 Bn |
| Dec 31, 2023 | 3.07 Bn |
| Sep 30, 2023 | 3.04 Bn |
| Jun 30, 2023 | 3.06 Bn |
| Mar 31, 2023 | 3.14 Bn |
| Dec 31, 2022 | 3.27 Bn |
| Sep 30, 2022 | 3.33 Bn |
| Jun 30, 2022 | 3.44 Bn |
| Mar 31, 2022 | 2.66 Bn |
| Dec 31, 2021 | 3.11 Bn |
| Sep 30, 2021 | 2.91 Bn |
Peloton Interactive Total Liabilities 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=total-liabilities&ticker=PTON&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=PTON&period=max&api_key=YOUR_API_KEY");
const data = await res.json();