DirectBooking Technology (ZDAI) Capital Leases (2023 - 2026)
DirectBooking Technology's Capital Leases came in at $299,074 for the quarter ended Mar 31, 2026, down 37.4% from $478,011 a year earlier.
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Analysis
DirectBooking Technology (ZDAI) Capital Leases (2023 - 2026) Analysis & Trends
Going back to the quarter ended Mar 31, 2023, DirectBooking Technology's Capital Leases data covers 6 quarters.
- Capital Leases carries a three-year compound annual growth rate of 21.4% (years ended Mar 2023 to Mar 2026).
- Going back by year, Capital Leases was $478,011 in the year ended Mar 31, 2025 (-29.6%), $679,369 in the year ended Mar 31, 2024 (+306.7%) and $167,038 in the year ended Mar 31, 2023.
- The figure for the quarter ended Mar 31, 2026 represents the lowest quarterly Capital Leases since the quarter ended Mar 31, 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Quanta Services | 96.54 Bn | 94.73 Bn | 1.55 Bn |
| 2 | Ferrovial | 38.99 Bn | 19.58 Bn | - |
| 3 | Emcor | 33.36 Bn | 29.75 Bn | 1.02 Bn |
| 4 | Mastec | 17.15 Bn | 16.06 Bn | 556.28 Mn |
| 5 | Jacobs Solutions | 15.84 Bn | 10.49 Bn | 810.70 Mn |
| 6 | Sterling Infrastructure | 15.09 Bn | 13.45 Bn | 289.96 Mn |
| 7 | IES Holdings | 12.79 Bn | 11.66 Bn | 340.66 Mn |
| 8 | Dycom Industries | 8.06 Bn | 7.19 Bn | - |
| 9 | Stantec | 7.69 Bn | 7.69 Bn | - |
| 10 | DirectBooking Technology | 4.83 Mn | 3.22 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 299,074.00 |
| Sep 30, 2025 | 832,728.00 |
| Mar 31, 2025 | 478,011.00 |
| Sep 30, 2024 | 1.09 Mn |
| Mar 31, 2024 | 679,369.00 |
| Mar 31, 2023 | 167,038.00 |
API Access
DirectBooking Technology Capital 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=capital-leases&ticker=ZDAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-leases", "ticker": "ZDAI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=capital-leases&ticker=ZDAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();