Peloton Interactive (PTON) Other Non-Current Liabilities (2019 - 2026)
Peloton Interactive's Other Non-Current Liabilities was $33.7 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), down 9.4% from $37.2 million a year earlier but up 24.8% from the prior quarter.
Peloton Interactive (PTON) Other Non-Current Liabilities (2019 - 2026) Analysis & Trends
From fiscal Q4 2019 onward, Peloton Interactive has reported Other Non-Current Liabilities for 29 quarters.
- Other Non-Current Liabilities shows a five-year compound annual growth rate of -2.5% (FY2021 to FY2026).
- In earlier fiscal years, Other Non-Current Liabilities was $37.2 million in FY2025 (+44.7%), $25.7 million in FY2024 (-14.6%), $30.1 million in FY2023 (-40.6%) and $50.7 million in FY2022 (+32.4%).
- Quarterly Other Non-Current Liabilities has moved between $25.6 million (fiscal Q1 2025) and $50.7 million (fiscal Q4 2022) over five years.
- Compared with a year earlier, Other Non-Current Liabilities was higher in four of the last eight quarters, with growth averaging 13.5%.
- The best year-over-year quarter for Other Non-Current Liabilities over five years was fiscal Q2 2022 (growth of 105.4%); the worst was fiscal Q4 2023 (a decline of 40.6%).
- Per Business Quant data, PTON's Other Non-Current Liabilities in the three fiscal quarters before Q4 2026 was $27 million (Q3 2026), $36 million (Q2 2026) and $35.8 million (Q1 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 | 33.70 Mn |
| Mar 31, 2026 | 27.00 Mn |
| Dec 31, 2025 | 36.00 Mn |
| Sep 30, 2025 | 35.80 Mn |
| Jun 30, 2025 | 37.20 Mn |
| Mar 31, 2025 | 31.30 Mn |
| Dec 31, 2024 | 25.80 Mn |
| Sep 30, 2024 | 25.60 Mn |
| Jun 30, 2024 | 25.70 Mn |
| Mar 31, 2024 | 26.30 Mn |
| Dec 31, 2023 | 27.10 Mn |
| Sep 30, 2023 | 27.70 Mn |
| Jun 30, 2023 | 30.10 Mn |
| Mar 31, 2023 | 33.10 Mn |
| Dec 31, 2022 | 44.10 Mn |
| Sep 30, 2022 | 40.50 Mn |
| Jun 30, 2022 | 50.70 Mn |
| Mar 31, 2022 | 39.30 Mn |
| Dec 31, 2021 | 41.50 Mn |
| Sep 30, 2021 | 39.50 Mn |
Peloton Interactive Other Non-Current 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=other-non-current-liabilities&ticker=PTON&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-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=other-non-current-liabilities&ticker=PTON&period=max&api_key=YOUR_API_KEY");
const data = await res.json();