DirectBooking Technology (ZDAI) Total Debt (2023 - 2026)
DirectBooking Technology (ZDAI) recorded Total Debt of $852,004 in the quarter ended Mar 31, 2026, down 10.4% from $950,614 a year earlier.
Powered by 
Analysis
DirectBooking Technology (ZDAI) Total Debt (2023 - 2026) Analysis & Trends
Starting with the quarter ended Mar 31, 2023, DirectBooking Technology's Total Debt history includes 6 quarters.
- Annual Total Debt has a three-year compound annual growth rate of -13.5% (years ended Mar 2023 to Mar 2026).
- Across earlier years, Total Debt came in at $950,614 in the year ended Mar 31, 2025 (-28.2%), $1.32 million in the year ended Mar 31, 2024 (+0.6%) and $1.32 million in the year ended Mar 31, 2023.
- The figure for the quarter ended Mar 31, 2026 is the lowest quarterly Total Debt since the quarter ended Sep 30, 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 96.85 Bn | 95.03 Bn | 1.55 Bn | 6.10 Bn |
| 2 | Ferrovial | 40.19 Bn | 20.78 Bn | - | 11.04 Bn |
| 3 | Emcor | 33.87 Bn | 30.26 Bn | 1.02 Bn | - |
| 4 | Mastec | 16.39 Bn | 15.29 Bn | 556.28 Mn | 2.74 Bn |
| 5 | Jacobs Solutions | 16.20 Bn | 10.85 Bn | 810.70 Mn | 3.58 Bn |
| 6 | Sterling Infrastructure | 15.30 Bn | 13.66 Bn | 289.96 Mn | 283.88 Mn |
| 7 | IES Holdings | 12.83 Bn | 11.70 Bn | 340.66 Mn | - |
| 8 | Dycom Industries | 7.99 Bn | 7.13 Bn | - | 2.81 Bn |
| 9 | Stantec | 7.84 Bn | 7.84 Bn | - | 231.99 Mn |
| 10 | DirectBooking Technology | 5.31 Mn | 3.70 Mn | - | 852,004.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 852,004.00 |
| Sep 30, 2025 | 901,881.00 |
| Mar 31, 2025 | 950,614.00 |
| Sep 30, 2024 | 95,169.00 |
| Mar 31, 2024 | 1.32 Mn |
| Mar 31, 2023 | 1.32 Mn |
API Access
DirectBooking Technology Total 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=total-debt&ticker=ZDAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-debt&ticker=ZDAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();