Pop Culture (CPOP) Receivables - Net (2020 - 2025)
Pop Culture (CPOP) posted Receivables - Net of $23.53 million for the quarter ended Dec 31, 2025.
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 | 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 | 23.53 Mn |
| Jun 30, 2025 | 35.91 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_KEY
import 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();