Playboy (PLBY) Shares Outstanding (Diluted) (2020 - 2026)
Playboy (PLBY) posted Shares Outstanding (Diluted) of 114.7 million for Q2 2026, up 21.5% from 94.4 million a year earlier and up 0.4% from the prior quarter.
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Analysis
Playboy (PLBY) Shares Outstanding (Diluted) (2020 - 2026) Analysis & Trends
For FY2025, Playboy's Shares Outstanding (Diluted) came in at 100.26 million, up 31.8% from FY2024.
- Annual Shares Outstanding (Diluted) has increased for five consecutive years, with a five-year compound annual growth rate of 35.2% (FY2020 to FY2025).
- In prior years, Playboy's Shares Outstanding (Diluted) was 76.05 million in FY2024 (+6.6%), 71.32 million in FY2023 (+50.4%), 47.42 million in FY2022 (+24.4%) and 38.11 million in FY2021 (+71.7%).
- The Q2 2026 figure stands as the highest quarterly Shares Outstanding (Diluted) in data going back to Q1 2020.
- On a year-over-year basis, Shares Outstanding (Diluted) has increased in each of the last eight quarters, with growth averaging 24.0% over the last eight quarters.
- The strongest year-over-year quarter for Shares Outstanding (Diluted) in the past five years was Q4 2021, with growth of 71.7%; the weakest was Q2 2024, with a decline of 2.5%.
- According to Business Quant data, Shares Outstanding (Diluted) for the three prior quarters was 114.18 million (Q1 2026), 100.26 million (Q4 2025) and 112.54 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.05 Bn | 18.05 Bn | 5.39 Bn | 1.48 Bn |
| 2 | Tapestry | 23.90 Bn | 19.86 Bn | 1.56 Bn | 210.20 Mn |
| 3 | Ralph Lauren | 21.81 Bn | 13.91 Bn | 1.44 Bn | 61.30 Mn |
| 4 | Deckers Outdoor | 11.33 Bn | 4.20 Bn | - | 144.29 Mn |
| 5 | Lululemon Athletica | 10.22 Bn | 4.47 Bn | 1.46 Bn | 112.92 Mn |
| 6 | Levi Strauss | 7.69 Bn | 4.35 Bn | 979.10 Mn | 389.63 Mn |
| 7 | Gildan Activewear | 6.41 Bn | 5.41 Bn | 459.76 Mn | 160.20 Mn |
| 8 | Birkenstock Holding | 6.07 Bn | 4.37 Bn | 493.89 Mn | 186.51 Mn |
| 9 | Crocs | 5.74 Bn | 5.15 Bn | 700.71 Mn | 49.63 Mn |
| 10 | Playboy | 119.54 Mn | -7.06 Mn | 22.82 Mn | 114.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 114.70 Mn |
| Mar 31, 2026 | 114.18 Mn |
| Dec 31, 2025 | 100.26 Mn |
| Sep 30, 2025 | 112.54 Mn |
| Jun 30, 2025 | 94.40 Mn |
| Mar 31, 2025 | 92.65 Mn |
| Dec 31, 2024 | 76.05 Mn |
| Sep 30, 2024 | 74.59 Mn |
| Jun 30, 2024 | 73.04 Mn |
| Mar 31, 2024 | 72.68 Mn |
| Dec 31, 2023 | 71.32 Mn |
| Sep 30, 2023 | 73.89 Mn |
| Jun 30, 2023 | 74.92 Mn |
| Mar 31, 2023 | 65.16 Mn |
| Dec 31, 2022 | 47.42 Mn |
| Sep 30, 2022 | 46.89 Mn |
| Jun 30, 2022 | 46.60 Mn |
| Mar 31, 2022 | 47.59 Mn |
| Dec 31, 2021 | 38.11 Mn |
| Sep 30, 2021 | 41.88 Mn |
API Access
Playboy Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=PLBY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=PLBY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();