Playboy (PLBY) Price to Book (2020 - 2026)
Playboy's (PLBY) Price to Book came in at 6.32 for Q2 2026, up 23.5% from the prior quarter.
Analysis
Playboy (PLBY) Price to Book (2020 - 2026) Analysis & Trends
For FY2025, Playboy's Price to Book stood at 11.54.
- In prior years, Playboy's Price to Book was 1.58 in FY2023 (+89.7%), 0.83 in FY2022 (-68.8%) and 2.67 in FY2021 (+2.1%).
- Quarterly Price to Book has run from a low of 0.70 in Q2 2022 to a high of 41.98 in Q3 2025 over five years.
- The strongest year-over-year quarter for Price to Book in the past five years was Q1 2024, with growth of 226.6%; the weakest was Q2 2022, with a decline of 82.7%.
- According to Business Quant data, Price to Book for the three prior quarters was 5.12 (Q1 2026), 11.54 (Q4 2025) and 41.98 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn |
| 10 | Playboy | 123.09 Mn | -3.51 Mn | 22.82 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.32 |
| Mar 31, 2026 | 5.12 |
| Dec 31, 2025 | 11.54 |
| Sep 30, 2025 | 41.98 |
| Jun 30, 2024 | 3.64 |
| Mar 31, 2024 | 2.58 |
| Dec 31, 2023 | 1.58 |
| Sep 30, 2023 | 1.24 |
| Jun 30, 2023 | 2.26 |
| Mar 31, 2023 | 0.79 |
| Dec 31, 2022 | 0.83 |
| Sep 30, 2022 | 1.22 |
| Jun 30, 2022 | 0.70 |
| Mar 31, 2022 | 1.33 |
| Dec 31, 2021 | 2.67 |
| Sep 30, 2021 | 2.42 |
| Jun 30, 2021 | 4.01 |
| Mar 31, 2021 | 3.67 |
| Dec 31, 2020 | 2.61 |
| Sep 30, 2020 | 2.72 |
API Access
Playboy Price to Book 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=price-to-book&ticker=PLBY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=PLBY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();