Pop Culture (CPOP) Operating Leases (2020 - 2025)
Pop Culture's Operating Leases was $15,050 in the quarter ended Dec 31, 2025.
Powered by 
Analysis
Pop Culture (CPOP) Operating Leases (2020 - 2025) Analysis & Trends
As of Jun 30, 2025, Operating Leases at Pop Culture came in at $44.98 million.
- Operating Leases shows a five-year compound annual growth rate of 198.4% (years ended Jun 2020 to Jun 2025).
- In earlier years, Operating Leases was $39,634 in the year ended Jun 30, 2023 (-84.2%), $250,178 in the year ended Jun 30, 2022 (+138.8%) and $104,755 in the year ended Jun 30, 2021 (-44.9%).
- The figure for the quarter ended Dec 31, 2025 marks the lowest quarterly Operating Leases since the quarter ended Dec 31, 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn |
| 10 | Pop Culture | 464,613.04 | -26.64 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 15,050.00 |
| Jun 30, 2025 | 44.98 Mn |
| Dec 31, 2023 | 13,351.00 |
| Jun 30, 2023 | 39,634.00 |
| Dec 31, 2022 | 155,082.00 |
| Jun 30, 2022 | 250,178.00 |
| Dec 31, 2021 | 50,583.00 |
| Jun 30, 2021 | 104,755.00 |
| Jun 30, 2020 | 189,994.00 |
API Access
Pop Culture Operating Leases 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-leases&ticker=CPOP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "ticker": "CPOP", "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-leases&ticker=CPOP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();