Playboy (PLBY) EPS (Diluted) (2020 - 2026)
Playboy's EPS (Diluted) was $0.00 in Q2 2026, compared with -$0.08 a year earlier.
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Analysis
Playboy (PLBY) EPS (Diluted) (2020 - 2026) Analysis & Trends
For FY2025, EPS (Diluted) at Playboy came in at -$0.13.
- In earlier years, EPS (Diluted) was -$1.04 in FY2024, -$2.53 in FY2023, -$5.86 in FY2022 and -$2.04 in FY2021.
- Quarterly EPS (Diluted) has moved between -$5.65 (Q3 2022) and $0.12 (Q1 2022) over five years.
- Per Business Quant data, PLBY's EPS (Diluted) in the three quarters before Q2 2026 was -$0.03 (Q1 2026), $0.04 (Q4 2025) and $0.00 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | 0.72 |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | 1.65 |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 4.28 |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | - |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | 2.92 |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | 0.22 |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | -0.31 |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | 0.68 |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 4.13 |
| 10 | Playboy | 121.90 Mn | -4.70 Mn | 22.82 Mn | 0.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.00 |
| Mar 31, 2026 | -0.03 |
| Dec 31, 2025 | 0.04 |
| Sep 30, 2025 | 0.00 |
| Jun 30, 2025 | -0.08 |
| Mar 31, 2025 | -0.10 |
| Dec 31, 2024 | -0.16 |
| Sep 30, 2024 | -0.45 |
| Jun 30, 2024 | -0.23 |
| Mar 31, 2024 | -0.23 |
| Dec 31, 2023 | -0.05 |
| Sep 30, 2023 | -0.10 |
| Jun 30, 2023 | -1.76 |
| Mar 31, 2023 | -0.58 |
| Dec 31, 2022 | -0.22 |
| Sep 30, 2022 | -5.65 |
| Jun 30, 2022 | -0.18 |
| Mar 31, 2022 | 0.12 |
| Dec 31, 2021 | -1.47 |
| Sep 30, 2021 | -0.18 |
API Access
Playboy EPS (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=eps-diluted&ticker=PLBY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-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=eps-diluted&ticker=PLBY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();