Playboy (PLBY) Property, Plant & Equipment (Net) (2020 - 2026)
Playboy (PLBY) reported Property, Plant & Equipment (Net) of $4.13 million for Q2 2026, down 2.4% from $4.23 million a year earlier and down 7.1% from the prior quarter.
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Analysis
Playboy (PLBY) Property, Plant & Equipment (Net) (2020 - 2026) Analysis & Trends
At the end of FY2025, Playboy posted Property, Plant & Equipment (Net) of $4.23 million, down 13.2% from FY2024.
- Property, Plant & Equipment (Net) has declined for four consecutive years, with a five-year compound annual growth rate of -4.1% (FY2020 to FY2025).
- By year, Property, Plant & Equipment (Net) came in at $4.87 million in FY2024 (-64.0%), $13.51 million in FY2023 (-2.1%), $13.8 million in FY2022 (-47.8%) and $26.45 million in FY2021 (+408.3%).
- The Q2 2026 figure ranks as the lowest quarterly Property, Plant & Equipment (Net) since Q3 2024.
- Year over year, Property, Plant & Equipment (Net) has now declined in each of the last three quarters, with an average decline of 13.1% over the last eight quarters.
- The high point for year-over-year Property, Plant & Equipment (Net) in five years was Q4 2021 (growth of 408.3%); the low point was Q3 2024 (a decline of 90.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $4.44 million (Q1 2026), $4.23 million (Q4 2025) and $4.19 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn | 4.89 Bn |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn | 502.10 Mn |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn | 1.05 Bn |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - | 337.78 Mn |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn | 2.05 Bn |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn | 659.80 Mn |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn | 1.32 Bn |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn | 472.48 Mn |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn | 246.08 Mn |
| 10 | Playboy | 123.09 Mn | -3.51 Mn | 22.82 Mn | 4.13 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.13 Mn |
| Mar 31, 2026 | 4.44 Mn |
| Dec 31, 2025 | 4.23 Mn |
| Sep 30, 2025 | 4.19 Mn |
| Jun 30, 2025 | 4.23 Mn |
| Mar 31, 2025 | 4.46 Mn |
| Dec 31, 2024 | 4.87 Mn |
| Sep 30, 2024 | 1.44 Mn |
| Jun 30, 2024 | 10.94 Mn |
| Mar 31, 2024 | 12.46 Mn |
| Dec 31, 2023 | 13.51 Mn |
| Sep 30, 2023 | 14.94 Mn |
| Jun 30, 2023 | 14.98 Mn |
| Mar 31, 2023 | 18.15 Mn |
| Dec 31, 2022 | 13.80 Mn |
| Sep 30, 2022 | 16.25 Mn |
| Jun 30, 2022 | 29.64 Mn |
| Mar 31, 2022 | 26.81 Mn |
| Dec 31, 2021 | 26.45 Mn |
| Sep 30, 2021 | 26.10 Mn |
API Access
Playboy Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=PLBY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=PLBY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();