Playboy (PLBY) Non-Current Assets (2020 - 2026)
Playboy's Non-Current Assets was $229.58 million in Q2 2026, up 2.2% from $224.59 million a year earlier and up 1.4% from the prior quarter.
Powered by 
Analysis
Playboy (PLBY) Non-Current Assets (2020 - 2026) Analysis & Trends
At the end of FY2025, Non-Current Assets at Playboy came in at $226.9 million, down 0.1% from FY2024.
- Non-Current Assets has now declined for four consecutive years, with a five-year compound annual growth rate of -9.1% (FY2020 to FY2025).
- In earlier years, Non-Current Assets was $227.2 million in FY2024 (-14.1%), $264.56 million in FY2023 (-39.0%), $433.87 million in FY2022 (-45.5%) and $796.53 million in FY2021 (+118.3%).
- The Q2 2026 figure marks the highest quarterly Non-Current Assets since Q2 2024.
- Compared with a year earlier, Non-Current Assets was higher in three of the last eight quarters, with an average decline of 5.7%.
- The best year-over-year quarter for Non-Current Assets over five years was Q4 2021 (growth of 118.3%); the worst was Q2 2023 (a decline of 63.0%).
- Per Business Quant data, PLBY's Non-Current Assets in the three quarters before Q2 2026 was $226.32 million (Q1 2026), $226.9 million (Q4 2025) and $227.04 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | 13.81 Bn |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | 3.81 Bn |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 3.82 Bn |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | 837.35 Mn |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | 4.54 Bn |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | 3.66 Bn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 5.52 Bn |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | 4.39 Bn |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 3.27 Bn |
| 10 | Playboy | 121.90 Mn | -4.70 Mn | 22.82 Mn | 229.58 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 229.58 Mn |
| Mar 31, 2026 | 226.32 Mn |
| Dec 31, 2025 | 226.90 Mn |
| Sep 30, 2025 | 227.04 Mn |
| Jun 30, 2025 | 224.59 Mn |
| Mar 31, 2025 | 225.11 Mn |
| Dec 31, 2024 | 227.20 Mn |
| Sep 30, 2024 | 181.29 Mn |
| Jun 30, 2024 | 254.33 Mn |
| Mar 31, 2024 | 252.40 Mn |
| Dec 31, 2023 | 264.56 Mn |
| Sep 30, 2023 | 285.68 Mn |
| Jun 30, 2023 | 287.07 Mn |
| Mar 31, 2023 | 444.83 Mn |
| Dec 31, 2022 | 433.87 Mn |
| Sep 30, 2022 | 447.14 Mn |
| Jun 30, 2022 | 776.19 Mn |
| Mar 31, 2022 | 798.56 Mn |
| Dec 31, 2021 | 796.53 Mn |
| Sep 30, 2021 | 717.06 Mn |
API Access
Playboy Non-Current Assets 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=non-current-assets&ticker=PLBY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=PLBY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();