Intelligent (INTJ) Operating Leases (2022 - 2026)
Intelligent (INTJ) reported Operating Leases of $53,438 for the quarter ended May 31, 2026, up 5.7% from $50,536 a year earlier.
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Analysis
Intelligent (INTJ) Operating Leases (2022 - 2026) Analysis & Trends
As of Nov 30, 2025, Intelligent posted Operating Leases of $21,469, down 43.1% from the prior year.
- Operating Leases has a three-year compound annual growth rate of -13.1% (years ended Nov 2022 to Nov 2025).
- By year, Operating Leases came in at $37,760 in the year ended Nov 30, 2024 (+0.4%), $37,620 in the year ended Nov 30, 2023 (+15.1%) and $32,686 in the year ended Nov 30, 2022.
- The figure for the quarter ended May 31, 2026 ranks as the highest quarterly Operating Leases since the quarter ended May 31, 2024.
- Year over year, Operating Leases gained in two of the last four quarters, with an average decline of 20.7%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Warner Bros. Discovery | 77.70 Bn | 63.36 Bn | 4.10 Bn |
| 2 | Fox | 28.41 Bn | 14.21 Bn | - |
| 3 | Omnicom | 22.53 Bn | 4.62 Bn | 1.30 Bn |
| 4 | News | 16.96 Bn | 8.44 Bn | - |
| 5 | Pearson | 11.84 Bn | 8.95 Bn | - |
| 6 | New York Times | 11.16 Bn | 8.64 Bn | 394.61 Mn |
| 7 | Sirius Xm Holdings | 9.11 Bn | 8.68 Bn | 1.44 Bn |
| 8 | Skydance | 7.66 Bn | 5.58 Bn | - |
| 9 | Wpp | 5.68 Bn | -6.36 Bn | - |
| 10 | Intelligent | 3.07 Mn | -31.89 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 53,438.00 |
| Nov 30, 2025 | 21,491.90 |
| May 31, 2025 | 50,536.00 |
| Nov 30, 2024 | 37,745.00 |
| May 31, 2024 | 93,207.00 |
| Nov 30, 2023 | 37,645.85 |
| Nov 30, 2022 | 32,771.24 |
API Access
Intelligent Operating Leases 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=operating-leases&ticker=INTJ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=INTJ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();