Playboy (PLBY) Revenue (2020 - 2026)
Playboy (PLBY) reported Revenue of $31.22 million for Q2 2026, up 10.9% from $28.15 million a year earlier and up 3.2% from the prior quarter.
Playboy (PLBY) Revenue (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Playboy's Revenue came in at $125.36 million, up 4.5% year-over-year; for FY2025, it came in at $120.93 million, up 4.1% from FY2024.
- Revenue has a five-year compound annual growth rate of -3.9% (FY2020 to FY2025).
- By year, Revenue came in at $116.14 million in FY2024 (-18.8%), $142.95 million in FY2023 (-23.0%), $185.54 million in FY2022 (-24.8%) and $246.59 million in FY2021 (+67.0%).
- Five-year quarterly Revenue spans a low of $16.28 million in Q3 2023 and a high of $95.7 million in Q4 2021.
- Year over year, Revenue has now increased in each of the last three quarters, with growth averaging 6.3% over the last eight quarters.
- The high point for year-over-year Revenue in five years was Q4 2021 (growth of 106.6%); the low point was Q3 2023 (a decline of 64.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $30.24 million (Q1 2026), $34.91 million (Q4 2025) and $28.99 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | 10.97 Bn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 1.88 Bn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 1.96 Bn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 2.42 Bn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 1.56 Bn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 1.58 Bn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | 836.35 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 1.18 Bn |
| 10 | Playboy | 120.72 Mn | -5.88 Mn | 22.82 Mn | 31.22 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 31.22 Mn |
| Mar 31, 2026 | 30.24 Mn |
| Dec 31, 2025 | 34.91 Mn |
| Sep 30, 2025 | 28.99 Mn |
| Jun 30, 2025 | 28.15 Mn |
| Mar 31, 2025 | 28.88 Mn |
| Dec 31, 2024 | 33.49 Mn |
| Sep 30, 2024 | 29.44 Mn |
| Jun 30, 2024 | 24.89 Mn |
| Mar 31, 2024 | 28.32 Mn |
| Dec 31, 2023 | 91.94 Mn |
| Sep 30, 2023 | 16.28 Mn |
| Jun 30, 2023 | 35.10 Mn |
| Mar 31, 2023 | 35.20 Mn |
| Dec 31, 2022 | 44.89 Mn |
| Sep 30, 2022 | 45.71 Mn |
| Jun 30, 2022 | 47.88 Mn |
| Mar 31, 2022 | 69.38 Mn |
| Dec 31, 2021 | 95.70 Mn |
| Sep 30, 2021 | 58.36 Mn |
Playboy Revenue 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=revenue&ticker=PLBY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=PLBY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();