DirectBooking Technology (ZDAI) Short term Debt (2023 - 2026)
DirectBooking Technology (ZDAI) posted Short term Debt of $102,011 for the quarter ended Mar 31, 2026, down 7.9% from $110,766 a year earlier.
DirectBooking Technology (ZDAI) Short term Debt (2023 - 2026) Analysis & Trends
Since the quarter ended Mar 31, 2023, DirectBooking Technology has reported Short term Debt for 5 quarters.
- Annual Short term Debt shows a three-year compound annual growth rate of 41.7% (years ended Mar 2023 to Mar 2026).
- In prior years, DirectBooking Technology's Short term Debt was $110,766 in the year ended Mar 31, 2025 (+17.3%), $94,435 in the year ended Mar 31, 2024 (+163.6%) and $35,827 in the year ended Mar 31, 2023.
- Quarterly Short term Debt has run from a low of $35,827 in the quarter ended Mar 31, 2023 to a high of $110,766 in the quarter ended Mar 31, 2025 over five years.
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
| Date | Value |
|---|---|
| Mar 31, 2026 | 102,011.00 |
| Sep 30, 2025 | 99,682.00 |
| Mar 31, 2025 | 110,766.00 |
| Mar 31, 2024 | 94,435.00 |
| Mar 31, 2023 | 35,827.00 |
DirectBooking Technology Short term Debt 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=short-term-debt&ticker=ZDAI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt", "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=short-term-debt&ticker=ZDAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();