DirectBooking Technology (ZDAI) Assets (2023 - 2026)
DirectBooking Technology's Assets came in at $19.39 million for the quarter ended Mar 31, 2026, up 23.5% from $15.7 million a year earlier.
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Analysis
DirectBooking Technology (ZDAI) Assets (2023 - 2026) Analysis & Trends
Going back to the quarter ended Mar 31, 2023, DirectBooking Technology's Assets data covers 6 quarters.
- Assets has increased in each of the last three years, with a three-year compound annual growth rate of 18.5% (years ended Mar 2023 to Mar 2026).
- Going back by year, Assets was $15.7 million in the year ended Mar 31, 2025 (+17.5%), $13.37 million in the year ended Mar 31, 2024 (+14.7%) and $11.66 million in the year ended Mar 31, 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 97.98 Bn | 96.16 Bn | 1.55 Bn | 28.29 Bn |
| 2 | Ferrovial | 39.32 Bn | 19.92 Bn | - | 31.92 Bn |
| 3 | Emcor | 33.71 Bn | 30.10 Bn | 1.02 Bn | 10.16 Bn |
| 4 | Mastec | 16.89 Bn | 15.80 Bn | 556.28 Mn | 10.93 Bn |
| 5 | Jacobs Solutions | 15.97 Bn | 10.63 Bn | 810.70 Mn | 11.74 Bn |
| 6 | Sterling Infrastructure | 15.50 Bn | 13.86 Bn | 289.96 Mn | 3.19 Bn |
| 7 | IES Holdings | 12.93 Bn | 11.79 Bn | 340.66 Mn | 2.28 Bn |
| 8 | Dycom Industries | 8.06 Bn | 7.20 Bn | - | 5.98 Bn |
| 9 | Stantec | 7.67 Bn | 7.67 Bn | - | 5.92 Bn |
| 10 | DirectBooking Technology | 4.83 Mn | 3.22 Mn | - | 19.39 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 19.39 Mn |
| Sep 30, 2025 | 11.74 Mn |
| Mar 31, 2025 | 15.70 Mn |
| Sep 30, 2024 | 14.82 Mn |
| Mar 31, 2024 | 13.37 Mn |
| Mar 31, 2023 | 11.66 Mn |
API Access
DirectBooking Technology Assets 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=assets&ticker=ZDAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=ZDAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();