Pop Culture (CPOP) Receivables (2020 - 2025)
Pop Culture's Receivables was $23.69 million in the quarter ended Dec 31, 2025.
Analysis
Pop Culture (CPOP) Receivables (2020 - 2025) Analysis & Trends
As of Jun 30, 2025, Receivables at Pop Culture came in at $36.98 million, up 51.5% from the prior year.
- Receivables shows a five-year compound annual growth rate of 19.8% (years ended Jun 2020 to Jun 2025).
- In earlier years, Receivables was $24.41 million in the year ended Jun 30, 2024 (+24.2%), $19.66 million in the year ended Jun 30, 2023 (-25.2%), $26.26 million in the year ended Jun 30, 2022 (+2.9%) and $25.52 million in the year ended Jun 30, 2021 (+70.6%).
- The figure for the quarter ended Dec 31, 2025 marks the lowest quarterly Receivables since the quarter ended Dec 31, 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 449.27 Bn | 418.33 Bn | 1.64 Bn | 1.50 Bn |
| 2 | Oracle | 417.01 Bn | 289.56 Bn | - | 11.39 Bn |
| 3 | Sap Se | 258.97 Bn | 180.05 Bn | 8.40 Bn | 8.22 Bn |
| 4 | Salesforce | 185.51 Bn | 141.38 Bn | 8.70 Bn | 6.32 Bn |
| 5 | ServiceNow | 134.41 Bn | 112.87 Bn | 2.82 Bn | 2.80 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 3.52 Bn |
| 7 | Intuit | 71.93 Bn | 51.28 Bn | 3.44 Bn | 625.00 Mn |
| 8 | Relx | 60.47 Bn | 57.43 Bn | - | 3.14 Bn |
| 9 | Strategy | 54.44 Bn | 47.43 Bn | 81.55 Mn | 137.09 Mn |
| 10 | Pop Culture | 412,779.97 | -26.69 Mn | - | 23.69 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 23.69 Mn |
| Jun 30, 2025 | 36.09 Mn |
| Jun 30, 2024 | 24.41 Mn |
| Dec 31, 2023 | 20.10 Mn |
| Jun 30, 2023 | 19.66 Mn |
| Dec 31, 2022 | 26.51 Mn |
| Jun 30, 2022 | 26.26 Mn |
| Dec 31, 2021 | 26.55 Mn |
| Jun 30, 2021 | 25.52 Mn |
| Jun 30, 2020 | 14.96 Mn |
API Access
Pop Culture Receivables 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&ticker=CPOP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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&ticker=CPOP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();