Pop Culture (CPOP) Receivables - Net (2020 - 2025)
Pop Culture (CPOP) posted Receivables - Net of $23.53 million for the quarter ended Dec 31, 2025.
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Analysis
Pop Culture (CPOP) Receivables - Net (2020 - 2025) Analysis & Trends
As of Jun 30, 2025, Pop Culture's Receivables - Net came in at $35.91 million, up 47.8% from the prior year.
- Annual Receivables - Net shows a five-year compound annual growth rate of 19.4% (years ended Jun 2020 to Jun 2025).
- In prior years, Pop Culture's Receivables - Net was $24.3 million in the year ended Jun 30, 2024 (+23.7%), $19.64 million in the year ended Jun 30, 2023 (-25.3%), $26.28 million in the year ended Jun 30, 2022 (+2.9%) and $25.54 million in the year ended Jun 30, 2021 (+72.4%).
- The figure for the quarter ended Dec 31, 2025 stands as the lowest quarterly Receivables - Net since the quarter ended Dec 31, 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 404.43 Bn | 369.25 Bn | 1.93 Bn |
| 2 | Oracle | 355.53 Bn | 227.67 Bn | - |
| 3 | Sap Se | 273.98 Bn | 227.60 Bn | - |
| 4 | Salesforce | 174.33 Bn | 130.20 Bn | 8.70 Bn |
| 5 | Automatic Data Processing | 117.87 Bn | 104.66 Bn | 2.53 Bn |
| 6 | ServiceNow | 104.89 Bn | 84.15 Bn | 2.90 Bn |
| 7 | Intuit | 93.22 Bn | 72.57 Bn | 3.44 Bn |
| 8 | Relx | 72.75 Bn | 71.83 Bn | - |
| 9 | Strategy | 49.49 Bn | 36.63 Bn | 89.63 Mn |
| 10 | Pop Culture | 282,726.00 | -7.02 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 23.53 Mn |
| Jun 30, 2025 | 35.91 Mn |
| Dec 31, 2024 | 30.08 Mn |
| Jun 30, 2024 | 24.30 Mn |
| Dec 31, 2023 | 20.12 Mn |
| Jun 30, 2023 | 19.64 Mn |
| Dec 31, 2022 | 25.13 Mn |
| Jun 30, 2022 | 26.28 Mn |
| Dec 31, 2021 | 26.57 Mn |
| Jun 30, 2021 | 25.54 Mn |
| Jun 30, 2020 | 14.81 Mn |
API Access
Pop Culture Receivables - Net 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=receivables-net&ticker=CPOP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=CPOP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();