Pop Culture (CPOP) Other Accumulated Expenses (2020 - 2025)
Pop Culture (CPOP) recorded Other Accumulated Expenses of $462,353 in the quarter ended Dec 31, 2025.
Analysis
Pop Culture (CPOP) Other Accumulated Expenses (2020 - 2025) Analysis & Trends
As of Jun 30, 2025, Pop Culture reported Other Accumulated Expenses of $185,062, down 73.7% from the prior year.
- Annual Other Accumulated Expenses has a five-year compound annual growth rate of 9.1% (years ended Jun 2020 to Jun 2025).
- Across earlier years, Other Accumulated Expenses came in at $702,401 in the year ended Jun 30, 2024 (-15.2%), $828,488 in the year ended Jun 30, 2023 (+454.9%), $149,296 in the year ended Jun 30, 2022 (-33.6%) and $225,000 in the year ended Jun 30, 2021 (+88.2%).
- The figure for the quarter ended Dec 31, 2025 is the highest quarterly Other Accumulated Expenses since the quarter ended Jun 30, 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn |
| 4 | Salesforce | 193.08 Bn | 148.96 Bn | 8.70 Bn |
| 5 | ServiceNow | 138.94 Bn | 117.40 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn |
| 8 | Relx | 60.79 Bn | 57.76 Bn | - |
| 9 | Strategy | 56.32 Bn | 49.31 Bn | 81.55 Mn |
| 10 | Pop Culture | 301,574.40 | -26.80 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 462,353.00 |
| Jun 30, 2025 | 185,062.00 |
| Jun 30, 2024 | 702,401.00 |
| Dec 31, 2023 | 641,095.00 |
| Jun 30, 2023 | 828,488.00 |
| Dec 31, 2022 | 14,783.00 |
| Jun 30, 2022 | 149,296.00 |
| Dec 31, 2021 | 262,447.00 |
| Jun 30, 2021 | 225,000.00 |
| Jun 30, 2020 | 119,573.00 |
API Access
Pop Culture Other Accumulated Expenses 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=other-accumulated-expenses&ticker=CPOP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=CPOP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();