DirectBooking Technology (ZDAI) Total Liabilities (2023 - 2026)
DirectBooking Technology's Total Liabilities was $5.84 million in the quarter ended Mar 31, 2026, down 16.2% from $6.96 million a year earlier.
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Analysis
DirectBooking Technology (ZDAI) Total Liabilities (2023 - 2026) Analysis & Trends
From the quarter ended Mar 31, 2023 onward, DirectBooking Technology has reported Total Liabilities for 6 quarters.
- Total Liabilities shows a three-year compound annual growth rate of -11.6% (years ended Mar 2023 to Mar 2026).
- In earlier years, Total Liabilities was $6.96 million in the year ended Mar 31, 2025 (-23.3%), $9.08 million in the year ended Mar 31, 2024 (+7.3%) and $8.46 million in the year ended Mar 31, 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 89.46 Bn | 87.54 Bn | 1.55 Bn | 18.55 Bn |
| 2 | Ferrovial | 35.38 Bn | 13.62 Bn | - | 25.27 Bn |
| 3 | Emcor | 31.05 Bn | 27.44 Bn | 1.02 Bn | 6.08 Bn |
| 4 | Jacobs Solutions | 16.40 Bn | 11.07 Bn | 810.70 Mn | 8.48 Bn |
| 5 | Mastec | 14.66 Bn | 13.44 Bn | 556.28 Mn | 7.33 Bn |
| 6 | Sterling Infrastructure | 12.61 Bn | 10.94 Bn | 289.96 Mn | 1.80 Bn |
| 7 | IES Holdings | 9.68 Bn | 8.54 Bn | 340.66 Mn | 1.05 Bn |
| 8 | Stantec | 7.88 Bn | 6.81 Bn | 1.36 Bn | 3.38 Bn |
| 9 | Aecom | 7.56 Bn | 2.68 Bn | -34.04 Mn | 9.63 Bn |
| 10 | DirectBooking Technology | 4.18 Mn | 2.57 Mn | - | 5.84 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 5.84 Mn |
| Sep 30, 2025 | 6.85 Mn |
| Mar 31, 2025 | 6.96 Mn |
| Sep 30, 2024 | 7.75 Mn |
| Mar 31, 2024 | 9.08 Mn |
| Mar 31, 2023 | 8.46 Mn |
API Access
DirectBooking Technology Total Liabilities 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-liabilities&ticker=ZDAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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-liabilities&ticker=ZDAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();