DirectBooking Technology (ZDAI) Current Assets (2023 - 2026)
DirectBooking Technology's Current Assets came in at $16.93 million for the quarter ended Mar 31, 2026, up 55.6% from $10.88 million a year earlier.
DirectBooking Technology (ZDAI) Current Assets (2023 - 2026) Analysis & Trends
Going back to the quarter ended Mar 31, 2023, DirectBooking Technology's Current Assets data covers 6 quarters.
- Current Assets has increased in each of the last three years, with a three-year compound annual growth rate of 35.2% (years ended Mar 2023 to Mar 2026).
- Going back by year, Current Assets was $10.88 million in the year ended Mar 31, 2025 (+40.0%), $7.77 million in the year ended Mar 31, 2024 (+13.5%) and $6.85 million in the year ended Mar 31, 2023.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 96.85 Bn | 95.03 Bn | 1.55 Bn | 11.86 Bn |
| 2 | Ferrovial | 40.19 Bn | 20.78 Bn | - | 8.51 Bn |
| 3 | Emcor | 33.87 Bn | 30.26 Bn | 1.02 Bn | 6.67 Bn |
| 4 | Mastec | 16.39 Bn | 15.29 Bn | 556.28 Mn | 4.94 Bn |
| 5 | Jacobs Solutions | 16.20 Bn | 10.85 Bn | 810.70 Mn | 5.09 Bn |
| 6 | Sterling Infrastructure | 15.30 Bn | 13.66 Bn | 289.96 Mn | 1.43 Bn |
| 7 | IES Holdings | 12.83 Bn | 11.70 Bn | 340.66 Mn | 1.53 Bn |
| 8 | Dycom Industries | 7.99 Bn | 7.13 Bn | - | 2.76 Bn |
| 9 | Stantec | 7.84 Bn | 7.84 Bn | - | 2.18 Bn |
| 10 | DirectBooking Technology | 5.31 Mn | 3.70 Mn | - | 16.93 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 16.93 Mn |
| Sep 30, 2025 | 7.90 Mn |
| Mar 31, 2025 | 10.88 Mn |
| Sep 30, 2024 | 10.05 Mn |
| Mar 31, 2024 | 7.77 Mn |
| Mar 31, 2023 | 6.85 Mn |
DirectBooking Technology Current 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=current-assets&ticker=ZDAI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-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=current-assets&ticker=ZDAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();