Playboy (PLBY) Return on Sales [ROS] (2020 - 2026)
Playboy (PLBY) posted Return on Sales [ROS] of 9.61% for Q2 2026, up 30.57 percentage points from -20.96% a year earlier and up 15.04 percentage points from the prior quarter.
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Analysis
Playboy (PLBY) Return on Sales [ROS] (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Playboy was 4.41%, up 41.86 percentage points year-over-year; for FY2025, it came in at -6.64%, up 37.14 percentage points from FY2024.
- Annual Return on Sales [ROS] has increased for three consecutive years, though with a five-year change of -15.86 percentage points (FY2020 to FY2025).
- In prior years, Playboy's Return on Sales [ROS] 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 stands as the highest quarterly Return on Sales [ROS] since Q1 2022.
- On a year-over-year basis, Return on Sales [ROS] has increased in each of the last seven quarters, with an average year-over-year change of +23.95 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q3 2023, with a gain of 612.94 percentage points; the weakest was Q3 2022, with a drop of 613.25 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was -5.43% (Q1 2026), 7.94% (Q4 2025) and 4.83% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn | 7.92% |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn | 23.57% |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn | 17.47% |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - | - |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn | 18.78% |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn | 7.82% |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn | 11.12% |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn | 28.22% |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn | 24.22% |
| 10 | Playboy | 123.09 Mn | -3.51 Mn | 22.82 Mn | 9.61% |
Historic Data
Download Data
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% |
API Access
Playboy Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=PLBY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=PLBY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();