Pop Culture (CPOP) Total Liabilities (2020 - 2025)
Pop Culture's Total Liabilities came in at $30.29 million for the quarter ended Dec 31, 2025.
Analysis
Pop Culture (CPOP) Total Liabilities (2020 - 2025) Analysis & Trends
As of Jun 30, 2025, Pop Culture's Total Liabilities was $93.27 million.
- Total Liabilities carries a five-year compound annual growth rate of 59.0% (years ended Jun 2020 to Jun 2025).
- Going back by year, Total Liabilities was $12.87 million in the year ended Jun 30, 2023 (+11.0%), $11.6 million in the year ended Jun 30, 2022 (-23.2%) and $15.1 million in the year ended Jun 30, 2021 (+64.5%).
- The figure for the quarter ended Dec 31, 2025 represents the lowest quarterly Total Liabilities since the quarter ended Dec 31, 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 1.79 Bn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 236.06 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 35.29 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 71.24 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 19.15 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 57.16 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 17.79 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | 18.48 Bn |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 21.68 Bn |
| 10 | Pop Culture | 464,613.04 | -26.64 Mn | - | 30.29 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 30.29 Mn |
| Jun 30, 2025 | 93.27 Mn |
| Dec 31, 2023 | 17.28 Mn |
| Jun 30, 2023 | 12.87 Mn |
| Dec 31, 2022 | 13.79 Mn |
| Jun 30, 2022 | 11.60 Mn |
| Dec 31, 2021 | 12.08 Mn |
| Jun 30, 2021 | 15.10 Mn |
| Jun 30, 2020 | 9.18 Mn |
API Access
Pop Culture Total Liabilities 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=total-liabilities&ticker=CPOP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=CPOP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();