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 | 59.22 Bn | 25.42 Bn | 4.80 Bn | 0.48 |
| 2 | Tapestry | 27.73 Bn | 23.69 Bn | 1.56 Bn | 1.65 |
| 3 | Ralph Lauren | 24.01 Bn | 15.93 Bn | 1.63 Bn | 4.87 |
| 4 | Lululemon Athletica | 12.77 Bn | 7.02 Bn | 1.46 Bn | 2.92 |
| 5 | Deckers Outdoor | 12.28 Bn | 5.48 Bn | 895.11 Mn | 2.31 |
| 6 | Levi Strauss | 9.33 Bn | 5.91 Bn | 1.07 Bn | 0.43 |
| 7 | V F | 8.24 Bn | 4.84 Bn | 1.49 Bn | 0.71 |
| 8 | Crocs | 7.62 Bn | 7.03 Bn | 689.73 Mn | 4.52 |
| 9 | Birkenstock Holding | 7.23 Bn | 5.55 Bn | 493.89 Mn | 0.68 |
| 10 | Playboy | 128.92 Mn | -678,411.09 | 24.30 Mn | 0.02 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 0.02 |
| 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 |
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();