Playboy (PLBY) Return on Capital Employed [ROCE] (2020 - 2026)
Playboy's Return on Capital Employed [ROCE] came in at 2.60% for Q2 2026, up 23.50 percentage points from -20.90% a year earlier and up 4.07 percentage points from the prior quarter.
Playboy (PLBY) Return on Capital Employed [ROCE] (2020 - 2026) Analysis & Trends
For FY2025, Playboy's Return on Capital Employed [ROCE] was -3.57%, up 16.47 percentage points from FY2024.
- Return on Capital Employed [ROCE] carries a five-year change of -12.52 percentage points (FY2020 to FY2025).
- Going back by year, Return on Capital Employed [ROCE] was -20.04% in FY2024 (+29.34 pp), -49.38% in FY2023 (-3.98 pp), -45.41% in FY2022 (-33.02 pp) and -12.38% in FY2021 (-21.33 pp).
- The Q2 2026 figure represents the highest quarterly Return on Capital Employed [ROCE] since Q4 2020.
- Year-over-year, Return on Capital Employed [ROCE] has increased for nine consecutive quarters, with an average year-over-year change of +35.59 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in Q2 2024 (a gain of 83.36 percentage points), and the weakest in Q2 2023 (a drop of 119.09 percentage points).
- Business Quant data shows PLBY's Return on Capital Employed [ROCE] at -1.47% (Q1 2026), -3.62% (Q4 2025) and -7.07% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn | 14.08% |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn | 38.80% |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn | 21.43% |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - | - |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn | 29.51% |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn | 14.72% |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn | 5.97% |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn | 10.20% |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn | 23.21% |
| 10 | Playboy | 123.09 Mn | -3.51 Mn | 22.82 Mn | 2.60% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.60% |
| Mar 31, 2026 | -1.47% |
| Dec 31, 2025 | -3.62% |
| Sep 30, 2025 | -7.07% |
| Jun 30, 2025 | -20.90% |
| Mar 31, 2025 | -21.56% |
| Dec 31, 2024 | -22.87% |
| Sep 30, 2024 | -60.29% |
| Jun 30, 2024 | -42.90% |
| Mar 31, 2024 | -92.05% |
| Dec 31, 2023 | -94.17% |
| Sep 30, 2023 | -65.15% |
| Jun 30, 2023 | -126.26% |
| Mar 31, 2023 | -69.66% |
| Dec 31, 2022 | -62.51% |
| Sep 30, 2022 | -50.98% |
| Jun 30, 2022 | -7.16% |
| Mar 31, 2022 | -6.86% |
| Dec 31, 2021 | -8.89% |
| Sep 30, 2021 | -1.25% |
Playboy Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=PLBY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=PLBY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();