Intelligent (INTJ) Accumulated Expenses (2022 - 2025)
Intelligent (INTJ) recorded Accumulated Expenses of $115,661 in the quarter ended Nov 30, 2025, down 29.5% from $164,029 a year earlier.
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Analysis
Intelligent (INTJ) Accumulated Expenses (2022 - 2025) Analysis & Trends
As of Nov 30, 2025, Intelligent reported Accumulated Expenses of $115,546, down 29.6% from the prior year.
- Annual Accumulated Expenses has a three-year compound annual growth rate of 46.0% (years ended Nov 2022 to Nov 2025).
- Across earlier years, Accumulated Expenses came in at $164,029 in the year ended Nov 30, 2024 (+748.7%), $19,328 in the year ended Nov 30, 2023 (-47.9%) and $37,115 in the year ended Nov 30, 2022.
- The figure for the quarter ended Nov 30, 2025 is the lowest quarterly Accumulated Expenses since the quarter ended May 31, 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Warner Bros. Discovery | 77.62 Bn | 63.29 Bn | 4.10 Bn |
| 2 | Fox | 27.00 Bn | 12.91 Bn | - |
| 3 | Omnicom | 20.21 Bn | 2.90 Bn | 1.30 Bn |
| 4 | News | 15.94 Bn | 8.14 Bn | - |
| 5 | Paramount Skydance | 11.45 Bn | 9.37 Bn | - |
| 6 | New York Times | 10.22 Bn | 7.71 Bn | 394.61 Mn |
| 7 | Pearson | 10.20 Bn | 7.34 Bn | - |
| 8 | Sirius Xm Holdings | 8.72 Bn | 8.30 Bn | 1.44 Bn |
| 9 | 36Kr Holdings | 5.91 Bn | 5.85 Bn | - |
| 10 | Intelligent | 4.20 Mn | -29.49 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Nov 30, 2025 | 115,660.97 |
| May 31, 2025 | 165,837.00 |
| Nov 30, 2024 | 164,029.39 |
| May 31, 2024 | 38,959.00 |
| Nov 30, 2023 | 19,299.11 |
| Nov 30, 2022 | 37,056.79 |
API Access
Intelligent 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=accumulated-expenses&ticker=INTJ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "INTJ", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=INTJ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();