Playboy (PLBY) Selling, General & Administrative (2020 - 2026)
Playboy (PLBY) recorded Selling, General & Administrative of $19.76 million in Q2 2026, down 11.7% from $22.37 million a year earlier and down 15.0% from the prior quarter.
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Analysis
Playboy (PLBY) Selling, General & Administrative (2020 - 2026) Analysis & Trends
On a TTM basis, Playboy's Selling, General & Administrative came in at $86.26 million as of Jun 30, 2026, down 13.0% year-over-year; for FY2025, it came in at $91.03 million, down 7.8% from FY2024.
- Annual Selling, General & Administrative has declined for four straight years, though with a five-year compound annual growth rate of 9.2% (FY2020 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $98.72 million in FY2024 (-19.8%), $123.12 million in FY2023 (-18.2%), $150.54 million in FY2022 (-23.8%) and $197.47 million in FY2021 (+236.6%).
- The Q2 2026 figure is the lowest quarterly Selling, General & Administrative since Q3 2023.
- On a year-over-year basis, Selling, General & Administrative has declined for five consecutive quarters, with an average decline of 5.6% over the last eight quarters.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 455.1% in Q4 2021, against a decline of 64.1% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $23.23 million (Q1 2026), $22.83 million (Q4 2025) and $20.43 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn | 3.91 Bn |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn | 1.12 Bn |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn | 1.08 Bn |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - | - |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn | 1.01 Bn |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn | 843.40 Mn |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn | 193.84 Mn |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn | -37.80 Mn |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn | 415.03 Mn |
| 10 | Playboy | 123.09 Mn | -3.51 Mn | 22.82 Mn | 19.76 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.76 Mn |
| Mar 31, 2026 | 23.23 Mn |
| Dec 31, 2025 | 22.83 Mn |
| Sep 30, 2025 | 20.43 Mn |
| Jun 30, 2025 | 22.37 Mn |
| Mar 31, 2025 | 25.40 Mn |
| Dec 31, 2024 | 26.85 Mn |
| Sep 30, 2024 | 24.52 Mn |
| Jun 30, 2024 | 25.49 Mn |
| Mar 31, 2024 | 22.01 Mn |
| Dec 31, 2023 | 59.05 Mn |
| Sep 30, 2023 | 15.47 Mn |
| Jun 30, 2023 | 32.52 Mn |
| Mar 31, 2023 | 41.41 Mn |
| Dec 31, 2022 | 36.76 Mn |
| Sep 30, 2022 | 34.99 Mn |
| Jun 30, 2022 | 38.61 Mn |
| Mar 31, 2022 | 50.53 Mn |
| Dec 31, 2021 | 102.54 Mn |
| Sep 30, 2021 | 37.38 Mn |
API Access
Playboy Selling, General & Administrative 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=selling-general-and-administrative&ticker=PLBY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=PLBY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();