Playboy (PLBY) Inventory (2020 - 2026)
Playboy's Inventory came in at $11.25 million for Q2 2026, up 55.8% from $7.22 million a year earlier but down 1.5% from the prior quarter.
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Analysis
Playboy (PLBY) Inventory (2020 - 2026) Analysis & Trends
At the end of FY2025, Playboy's Inventory was $12.93 million, up 45.0% from FY2024.
- Inventory carries a five-year compound annual growth rate of 1.9% (FY2020 to FY2025).
- Going back by year, Inventory was $8.92 million in FY2024 (-31.4%), $13 million in FY2023 (-36.9%), $20.61 million in FY2022 (-48.3%) and $39.88 million in FY2021 (+238.3%).
- The five-year range for quarterly Inventory is $69,000 (Q3 2024) to $39.88 million (Q4 2021).
- Year-over-year, Inventory has increased for three consecutive quarters, with an average decline of 4.0% over the last seven quarters.
- The fastest year-over-year change in Inventory over five years came in Q4 2021 (growth of 238.3%), and the weakest in Q3 2024 (a decline of 99.5%).
- Business Quant data shows PLBY's Inventory at $11.42 million (Q1 2026), $12.93 million (Q4 2025) and $7.98 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | - |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | 826.20 Mn |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 1.16 Bn |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | 487.02 Mn |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | 1.71 Bn |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | 1.16 Bn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 2.17 Bn |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | 980.27 Mn |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 389.21 Mn |
| 10 | Playboy | 121.90 Mn | -4.70 Mn | 22.82 Mn | 11.25 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.25 Mn |
| Mar 31, 2026 | 11.42 Mn |
| Dec 31, 2025 | 12.93 Mn |
| Sep 30, 2025 | 7.98 Mn |
| Jun 30, 2025 | 7.22 Mn |
| Mar 31, 2025 | 8.11 Mn |
| Dec 31, 2024 | 8.92 Mn |
| Sep 30, 2024 | 69,000.00 |
| Jun 30, 2024 | 10.36 Mn |
| Mar 31, 2024 | 8.87 Mn |
| Dec 31, 2023 | 13.00 Mn |
| Sep 30, 2023 | 14.00 Mn |
| Jun 30, 2023 | 14.06 Mn |
| Mar 31, 2023 | 18.59 Mn |
| Dec 31, 2022 | 20.61 Mn |
| Sep 30, 2022 | 33.78 Mn |
| Jun 30, 2022 | 37.12 Mn |
| Mar 31, 2022 | 38.78 Mn |
| Dec 31, 2021 | 39.88 Mn |
| Sep 30, 2021 | 35.67 Mn |
API Access
Playboy Inventory 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=inventory&ticker=PLBY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=PLBY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();