Playboy (PLBY) Operating Expenses (2020 - 2026)
Playboy (PLBY) posted Operating Expenses of $28.24 million for Q2 2026, down 17.0% from $34.03 million a year earlier and down 11.4% from the prior quarter.
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Analysis
Playboy (PLBY) Operating Expenses (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Playboy was $119.91 million, down 27.2% year-over-year; for FY2025, it was $128.96 million, down 22.8% from FY2024.
- Annual Operating Expenses has declined for three consecutive years, with a five-year compound annual growth rate of -0.8% (FY2020 to FY2025).
- In prior years, Playboy's Operating Expenses was $166.97 million in FY2024 (-49.9%), $333.32 million in FY2023 (-30.8%), $481.64 million in FY2022 (+52.7%) and $315.44 million in FY2021 (+135.3%).
- Quarterly Operating Expenses has run from a low of $17.86 million in Q3 2023 to a high of $330.31 million in Q3 2022 over five years.
- On a year-over-year basis, Operating Expenses has declined in each of the last seven quarters, with growth averaging 5.6% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q3 2022, with growth of 417.2%; the weakest was Q3 2023, with a decline of 94.6%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $31.88 million (Q1 2026), $32.16 million (Q4 2025) and $27.63 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.14 Bn | 19.13 Bn | 5.39 Bn | 4.08 Bn |
| 2 | Tapestry | 22.87 Bn | 18.83 Bn | 1.56 Bn | 1.12 Bn |
| 3 | Ralph Lauren | 21.39 Bn | 13.49 Bn | 1.44 Bn | 1.10 Bn |
| 4 | Deckers Outdoor | 11.06 Bn | 3.93 Bn | - | - |
| 5 | Lululemon Athletica | 10.32 Bn | 4.58 Bn | 1.46 Bn | 1.01 Bn |
| 6 | Levi Strauss | 7.62 Bn | 4.28 Bn | 979.10 Mn | 856.90 Mn |
| 7 | Gildan Activewear | 6.55 Bn | 5.54 Bn | 459.76 Mn | 283.86 Mn |
| 8 | Birkenstock Holding | 6.07 Bn | 4.38 Bn | 493.89 Mn | -37.80 Mn |
| 9 | Crocs | 5.90 Bn | 5.31 Bn | 700.71 Mn | 415.03 Mn |
| 10 | Playboy | 121.90 Mn | -4.70 Mn | 22.82 Mn | 28.24 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 28.24 Mn |
| Mar 31, 2026 | 31.88 Mn |
| Dec 31, 2025 | 32.16 Mn |
| Sep 30, 2025 | 27.63 Mn |
| Jun 30, 2025 | 34.03 Mn |
| Mar 31, 2025 | 35.14 Mn |
| Dec 31, 2024 | 37.95 Mn |
| Sep 30, 2024 | 57.70 Mn |
| Jun 30, 2024 | 34.09 Mn |
| Mar 31, 2024 | 37.24 Mn |
| Dec 31, 2023 | 180.59 Mn |
| Sep 30, 2023 | 17.86 Mn |
| Jun 30, 2023 | 188.16 Mn |
| Mar 31, 2023 | 63.18 Mn |
| Dec 31, 2022 | 56.65 Mn |
| Sep 30, 2022 | 330.31 Mn |
| Jun 30, 2022 | 53.46 Mn |
| Mar 31, 2022 | 62.49 Mn |
| Dec 31, 2021 | 151.06 Mn |
| Sep 30, 2021 | 63.87 Mn |
API Access
Playboy Operating Expenses 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-expenses&ticker=PLBY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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-expenses&ticker=PLBY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();