DirectBooking Technology (ZDAI) Prepaid Assets (2023 - 2026)
DirectBooking Technology (ZDAI) recorded Prepaid Assets of $13.58 million in the quarter ended Mar 31, 2026, up 326.8% from $3.18 million a year earlier.
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Analysis
DirectBooking Technology (ZDAI) Prepaid Assets (2023 - 2026) Analysis & Trends
Starting with the quarter ended Mar 31, 2023, DirectBooking Technology's Prepaid Assets history includes 6 quarters.
- Annual Prepaid Assets has increased for three straight years, with a three-year compound annual growth rate of 440.8% (years ended Mar 2023 to Mar 2026).
- Across earlier years, Prepaid Assets came in at $3.18 million in the year ended Mar 31, 2025 (+264.2%), $873,819 in the year ended Mar 31, 2024 (+917.6%) and $85,871 in the year 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 | 13.58 Mn |
| Sep 30, 2025 | 120,158.00 |
| Mar 31, 2025 | 3.18 Mn |
| Sep 30, 2024 | 2.55 Mn |
| Mar 31, 2024 | -787,948.00 |
| Mar 31, 2023 | 85,871.00 |
API Access
DirectBooking Technology Prepaid 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=prepaid-assets&ticker=ZDAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-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=prepaid-assets&ticker=ZDAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();