DirectBooking Technology (ZDAI) Non-Current Debt (2023 - 2026)
DirectBooking Technology (ZDAI) posted Non-Current Debt of -$951,909 for the year ended Mar 31, 2026, compared with -$990,816 a year earlier.
Analysis
DirectBooking Technology (ZDAI) Non-Current Debt (2023 - 2026) Analysis & Trends
Since the year ended Mar 31, 2022, DirectBooking Technology has reported Non-Current Debt for 5 years.
- The figure for the year ended Mar 31, 2026 stands as the highest annual Non-Current Debt since the year ended Mar 31, 2023.
- Business Quant data shows ZDAI's Non-Current Debt at -$990,816 in the year ended Mar 31, 2025, -$1.07 million in the year ended Mar 31, 2024, $110,389 in the year ended Mar 31, 2023 (-22.4%) and $142,253 in the year ended Mar 31, 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 89.46 Bn | 87.54 Bn | 1.55 Bn | 5.42 Bn |
| 2 | Ferrovial | 35.38 Bn | 13.62 Bn | - | - |
| 3 | Emcor | 31.05 Bn | 27.44 Bn | 1.02 Bn | -681,000.00 |
| 4 | Jacobs Solutions | 16.40 Bn | 11.07 Bn | 810.70 Mn | 3.58 Bn |
| 5 | Mastec | 14.66 Bn | 13.44 Bn | 556.28 Mn | 2.57 Bn |
| 6 | Sterling Infrastructure | 12.61 Bn | 10.94 Bn | 289.96 Mn | 268.73 Mn |
| 7 | IES Holdings | 9.68 Bn | 8.54 Bn | 340.66 Mn | -38.36 Mn |
| 8 | Stantec | 7.88 Bn | 6.81 Bn | 1.36 Bn | 105.43 Mn |
| 9 | Aecom | 7.56 Bn | 2.68 Bn | -34.04 Mn | 2.65 Bn |
| 10 | DirectBooking Technology | 4.18 Mn | 2.57 Mn | - | 749,993.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 749,993.00 |
| Sep 30, 2025 | 802,199.00 |
| Mar 31, 2025 | 839,848.00 |
| Mar 31, 2024 | 949,684.00 |
| Mar 31, 2023 | 1.04 Mn |
API Access
DirectBooking Technology Non-Current 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=non-current-debt&ticker=ZDAI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-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=non-current-debt&ticker=ZDAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();