Playboy (PLBY) Non Operating Interest Expenses (2020 - 2026)
Playboy's Non Operating Interest Expenses came in at $2.22 million for Q2 2026, up 16.3% from $1.91 million a year earlier but down 11.2% from the prior quarter.
Playboy (PLBY) Non Operating Interest Expenses (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Playboy reported Non Operating Interest Expenses of $9.15 million, down 36.8% year-over-year; for FY2025, it came in at $8.23 million, down 65.3% from FY2024.
- Non Operating Interest Expenses carries a five-year compound annual growth rate of -9.4% (FY2020 to FY2025).
- Going back by year, Non Operating Interest Expenses was $23.69 million in FY2024 (+1.7%), $23.29 million in FY2023 (+31.5%), $17.72 million in FY2022 (+33.1%) and $13.31 million in FY2021 (-1.1%).
- The five-year range for quarterly Non Operating Interest Expenses is $1.89 million (Q1 2025) to $6.67 million (Q3 2024).
- Year-over-year, Non Operating Interest Expenses increased in three of the last eight quarters, with an average decline of 28.8%.
- The fastest year-over-year change in Non Operating Interest Expenses over five years came in Q2 2022 (growth of 81.2%), and the weakest in Q3 2025 (a decline of 71.1%).
- Business Quant data shows PLBY's Non Operating Interest Expenses at $2.5 million (Q1 2026), $2.5 million (Q4 2025) and $1.93 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.05 Bn | 18.05 Bn | 5.39 Bn | - |
| 2 | Tapestry | 23.90 Bn | 19.86 Bn | 1.56 Bn | - |
| 3 | Ralph Lauren | 21.81 Bn | 13.91 Bn | 1.44 Bn | 13.00 Mn |
| 4 | Deckers Outdoor | 11.33 Bn | 4.20 Bn | - | - |
| 5 | Lululemon Athletica | 10.22 Bn | 4.47 Bn | 1.46 Bn | - |
| 6 | Levi Strauss | 7.69 Bn | 4.35 Bn | 979.10 Mn | 12.90 Mn |
| 7 | Gildan Activewear | 6.41 Bn | 5.41 Bn | 459.76 Mn | 69.29 Mn |
| 8 | Birkenstock Holding | 6.07 Bn | 4.37 Bn | 493.89 Mn | -49.99 Mn |
| 9 | Crocs | 5.74 Bn | 5.15 Bn | 700.71 Mn | 19.91 Mn |
| 10 | Playboy | 119.54 Mn | -7.06 Mn | 22.82 Mn | 2.22 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.22 Mn |
| Mar 31, 2026 | 2.50 Mn |
| Dec 31, 2025 | 2.50 Mn |
| Sep 30, 2025 | 1.93 Mn |
| Jun 30, 2025 | 1.91 Mn |
| Mar 31, 2025 | 1.89 Mn |
| Dec 31, 2024 | 4.01 Mn |
| Sep 30, 2024 | 6.67 Mn |
| Jun 30, 2024 | 6.59 Mn |
| Mar 31, 2024 | 6.43 Mn |
| Dec 31, 2023 | 5.71 Mn |
| Sep 30, 2023 | 6.62 Mn |
| Jun 30, 2023 | 5.76 Mn |
| Mar 31, 2023 | 5.21 Mn |
| Dec 31, 2022 | 5.28 Mn |
| Sep 30, 2022 | 4.31 Mn |
| Jun 30, 2022 | 4.08 Mn |
| Mar 31, 2022 | 4.05 Mn |
| Dec 31, 2021 | 4.14 Mn |
| Sep 30, 2021 | 3.62 Mn |
Playboy Non Operating Interest 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=non-operating-interest-expenses&ticker=PLBY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=PLBY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();