Playboy (PLBY) Cash & Equivalents (2020 - 2026)
Playboy's Cash & Equivalents was $31.9 million in Q2 2026, up 62.6% from $19.62 million a year earlier and up 5.6% from the prior quarter.
Analysis
Playboy (PLBY) Cash & Equivalents (2020 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at Playboy came in at $37.8 million, up 22.3% from FY2024.
- Cash & Equivalents shows a five-year compound annual growth rate of 23.0% (FY2020 to FY2025).
- In earlier years, Cash & Equivalents was $30.9 million in FY2024 (+9.9%), $28.12 million in FY2023 (-11.6%), $31.82 million in FY2022 (-54.1%) and $69.25 million in FY2021 (+415.6%).
- Quarterly Cash & Equivalents has moved between $9.54 million (Q3 2024) and $69.25 million (Q4 2021) over five years.
- Compared with a year earlier, Cash & Equivalents has increased for seven straight quarters, with growth averaging 37.4% over the last eight quarters.
- The best year-over-year quarter for Cash & Equivalents over five years was Q4 2021 (growth of 415.6%); the worst was Q2 2022 (a decline of 82.5%).
- Per Business Quant data, PLBY's Cash & Equivalents in the three quarters before Q2 2026 was $30.2 million (Q1 2026), $37.8 million (Q4 2025) and $27.5 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn | 6.90 Bn |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn | 974.70 Mn |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn | 1.72 Bn |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - | 1.91 Bn |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn | 1.39 Bn |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn | 849.30 Mn |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn | 268.30 Mn |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn | 806.25 Mn |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn | 170.28 Mn |
| 10 | Playboy | 123.09 Mn | -3.51 Mn | 22.82 Mn | 31.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 31.90 Mn |
| Mar 31, 2026 | 30.20 Mn |
| Dec 31, 2025 | 37.80 Mn |
| Sep 30, 2025 | 27.50 Mn |
| Jun 30, 2025 | 19.62 Mn |
| Mar 31, 2025 | 23.72 Mn |
| Dec 31, 2024 | 30.90 Mn |
| Sep 30, 2024 | 9.54 Mn |
| Jun 30, 2024 | 16.85 Mn |
| Mar 31, 2024 | 19.04 Mn |
| Dec 31, 2023 | 28.12 Mn |
| Sep 30, 2023 | 20.03 Mn |
| Jun 30, 2023 | 34.40 Mn |
| Mar 31, 2023 | 24.93 Mn |
| Dec 31, 2022 | 31.82 Mn |
| Sep 30, 2022 | 60.06 Mn |
| Jun 30, 2022 | 44.61 Mn |
| Mar 31, 2022 | 32.95 Mn |
| Dec 31, 2021 | 69.25 Mn |
| Sep 30, 2021 | 67.85 Mn |
API Access
Playboy Cash & Equivalents 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=cash-and-equivalents&ticker=PLBY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=PLBY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();