Playboy (PLBY) Total Liabilities (2019 - 2026)
Playboy (PLBY) posted Total Liabilities of $266 million for Q2 2026, down 5.5% from $281.55 million a year earlier but up 5.8% from the prior quarter.
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Analysis
Playboy (PLBY) Total Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Playboy's Total Liabilities came in at $274 million, down 6.3% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of -3.6% (FY2020 to FY2025).
- In prior years, Playboy's Total Liabilities was $292.44 million in FY2024 (+1.4%), $288.36 million in FY2023 (-27.8%), $399.33 million in FY2022 (-22.1%) and $512.92 million in FY2021 (+55.9%).
- Quarterly Total Liabilities has run from a low of $251.49 million in Q1 2026 to a high of $512.92 million in Q4 2021 over five years.
- On a year-over-year basis, Total Liabilities has declined in each of the last five quarters, with an average decline of 4.3% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q4 2021, with growth of 55.9%; the weakest was Q2 2023, with a decline of 32.8%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $251.49 million (Q1 2026), $274 million (Q4 2025) and $274.54 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 56.89 Bn | 23.09 Bn | 4.80 Bn | 22.57 Bn |
| 2 | Ralph Lauren | 22.95 Bn | 15.05 Bn | 1.44 Bn | 4.94 Bn |
| 3 | Tapestry | 22.81 Bn | 18.77 Bn | 1.56 Bn | 6.00 Bn |
| 4 | Deckers Outdoor | 12.13 Bn | 5.00 Bn | - | 1.19 Bn |
| 5 | Lululemon Athletica | 11.09 Bn | 5.34 Bn | 1.46 Bn | 3.69 Bn |
| 6 | Levi Strauss | 8.25 Bn | 4.84 Bn | 1.07 Bn | 4.51 Bn |
| 7 | Gildan Activewear | 7.59 Bn | 6.51 Bn | 459.76 Mn | 6.72 Bn |
| 8 | V F | 6.87 Bn | 3.49 Bn | 917.04 Mn | 7.70 Bn |
| 9 | Birkenstock Holding | 6.20 Bn | 4.52 Bn | 493.89 Mn | 3.27 Bn |
| 10 | Playboy | 130.19 Mn | 3.59 Mn | 22.82 Mn | 266.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 266.00 Mn |
| Mar 31, 2026 | 251.49 Mn |
| Dec 31, 2025 | 274.00 Mn |
| Sep 30, 2025 | 274.54 Mn |
| Jun 30, 2025 | 281.55 Mn |
| Mar 31, 2025 | 281.95 Mn |
| Dec 31, 2024 | 292.44 Mn |
| Sep 30, 2024 | 287.29 Mn |
| Jun 30, 2024 | 286.10 Mn |
| Mar 31, 2024 | 279.59 Mn |
| Dec 31, 2023 | 288.36 Mn |
| Sep 30, 2023 | 311.98 Mn |
| Jun 30, 2023 | 327.70 Mn |
| Mar 31, 2023 | 337.73 Mn |
| Dec 31, 2022 | 399.33 Mn |
| Sep 30, 2022 | 424.55 Mn |
| Jun 30, 2022 | 487.40 Mn |
| Mar 31, 2022 | 464.11 Mn |
| Dec 31, 2021 | 512.92 Mn |
| Sep 30, 2021 | 451.57 Mn |
API Access
Playboy 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=PLBY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=PLBY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();