Playboy (PLBY) Total Non-Current Liabilities (2020 - 2026)
Playboy (PLBY) recorded Total Non-Current Liabilities of $263.62 million in Q2 2026, down 5.9% from $280.05 million a year earlier but up 5.8% from the prior quarter.
Playboy (PLBY) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Playboy reported Total Non-Current Liabilities of $271.67 million, down 6.5% from FY2024.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of -3.6% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $290.6 million in FY2024 (+1.1%), $287.4 million in FY2023 (-27.9%), $398.45 million in FY2022 (-22.3%) and $512.9 million in FY2021 (+57.0%).
- Quarterly Total Non-Current Liabilities has ranged from $249.14 million in Q1 2026 to $512.9 million in Q4 2021 over the past five years.
- On a year-over-year basis, Total Non-Current Liabilities has declined for five consecutive quarters, with an average decline of 4.5% over the last eight quarters.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 57.0% in Q4 2021, against a decline of 32.9% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $249.14 million (Q1 2026), $271.67 million (Q4 2025) and $272.86 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | - |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 5.46 Bn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 4.76 Bn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | 384.05 Mn |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 3.63 Bn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 4.12 Bn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 4.37 Bn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | 2.75 Bn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 2.33 Bn |
| 10 | Playboy | 120.72 Mn | -5.88 Mn | 22.82 Mn | 263.62 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 263.62 Mn |
| Mar 31, 2026 | 249.14 Mn |
| Dec 31, 2025 | 271.67 Mn |
| Sep 30, 2025 | 272.86 Mn |
| Jun 30, 2025 | 280.05 Mn |
| Mar 31, 2025 | 280.54 Mn |
| Dec 31, 2024 | 290.60 Mn |
| Sep 30, 2024 | 286.47 Mn |
| Jun 30, 2024 | 285.13 Mn |
| Mar 31, 2024 | 278.64 Mn |
| Dec 31, 2023 | 287.40 Mn |
| Sep 30, 2023 | 310.94 Mn |
| Jun 30, 2023 | 326.80 Mn |
| Mar 31, 2023 | 336.83 Mn |
| Dec 31, 2022 | 398.45 Mn |
| Sep 30, 2022 | 424.43 Mn |
| Jun 30, 2022 | 487.30 Mn |
| Mar 31, 2022 | 464.02 Mn |
| Dec 31, 2021 | 512.90 Mn |
| Sep 30, 2021 | 444.63 Mn |
Playboy Total 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=total-non-current-liabilities&ticker=PLBY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "PLBY", "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-non-current-liabilities&ticker=PLBY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();