Playboy (PLBY) Operating Margin (2020 - 2026)
Playboy's Operating Margin was 9.61% in Q2 2026, up 30.57 percentage points from -20.96% a year earlier and up 15.04 percentage points from the prior quarter.
Playboy (PLBY) Operating Margin (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Playboy's Operating Margin was 4.41% through Jun 30, 2026, up 41.86 percentage points year-over-year; for FY2025, it came in at -6.64%, up 37.14 percentage points from FY2024.
- Operating Margin has now increased for three consecutive years, though with a five-year change of -15.86 percentage points (FY2020 to FY2025).
- In earlier years, Operating Margin was -43.77% in FY2024 (+89.40 pp), -133.17% in FY2023 (+26.42 pp), -159.59% in FY2022 (-131.67 pp) and -27.92% in FY2021 (-37.14 pp).
- The Q2 2026 figure marks the highest quarterly Operating Margin since Q1 2022.
- Compared with a year earlier, Operating Margin has increased for seven straight quarters, with an average year-over-year change of +23.95 percentage points over the last eight quarters.
- The best year-over-year quarter for Operating Margin over five years was Q3 2023 (a gain of 612.94 percentage points); the worst was Q3 2022 (a drop of 613.25 percentage points).
- Per Business Quant data, PLBY's Operating Margin in the three quarters before Q2 2026 was -5.43% (Q1 2026), 7.94% (Q4 2025) and 4.83% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.67 Bn | 21.88 Bn | 4.80 Bn | 7.92% |
| 2 | Tapestry | 23.80 Bn | 19.76 Bn | 1.56 Bn | 23.57% |
| 3 | Ralph Lauren | 22.79 Bn | 14.88 Bn | 1.44 Bn | 17.47% |
| 4 | Deckers Outdoor | 12.35 Bn | 5.22 Bn | - | - |
| 5 | Lululemon Athletica | 10.97 Bn | 5.23 Bn | 1.46 Bn | 18.78% |
| 6 | Levi Strauss | 8.10 Bn | 4.69 Bn | 1.07 Bn | 13.81% |
| 7 | V F | 6.78 Bn | 3.40 Bn | 917.04 Mn | -4.98% |
| 8 | Gildan Activewear | 6.50 Bn | 5.42 Bn | 459.76 Mn | 11.12% |
| 9 | Birkenstock Holding | 6.11 Bn | 4.43 Bn | 493.89 Mn | 28.22% |
| 10 | Playboy | 126.17 Mn | -1.24 Mn | 22.82 Mn | 9.61% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.61% |
| Mar 31, 2026 | -5.43% |
| Dec 31, 2025 | 7.94% |
| Sep 30, 2025 | 4.83% |
| Jun 30, 2025 | -20.96% |
| Mar 31, 2025 | -21.82% |
| Dec 31, 2024 | -13.30% |
| Sep 30, 2024 | -96.01% |
| Jun 30, 2024 | -36.98% |
| Mar 31, 2024 | -31.49% |
| Dec 31, 2023 | -96.42% |
| Sep 30, 2023 | -9.75% |
| Jun 30, 2023 | -436.04% |
| Mar 31, 2023 | -79.48% |
| Dec 31, 2022 | -26.19% |
| Sep 30, 2022 | -622.69% |
| Jun 30, 2022 | -11.65% |
| Mar 31, 2022 | 9.93% |
| Dec 31, 2021 | -57.85% |
| Sep 30, 2021 | -9.44% |
Playboy Operating Margin 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=operating-margin&ticker=PLBY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=PLBY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();