DirectBooking Technology (ZDAI) Total Non-Current Liabilities (2023 - 2026)
DirectBooking Technology (ZDAI) recorded Total Non-Current Liabilities of $1.5 million in the quarter ended Mar 31, 2026, down 47.5% from $2.86 million a year earlier.
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Analysis
DirectBooking Technology (ZDAI) Total Non-Current Liabilities (2023 - 2026) Analysis & Trends
Starting with the quarter ended Mar 31, 2023, DirectBooking Technology's Total Non-Current Liabilities history includes 6 quarters.
- Annual Total Non-Current Liabilities has a three-year compound annual growth rate of -22.2% (years ended Mar 2023 to Mar 2026).
- Across earlier years, Total Non-Current Liabilities came in at $2.86 million in the year ended Mar 31, 2025 (-19.7%), $3.56 million in the year ended Mar 31, 2024 (+11.5%) and $3.19 million in the year ended Mar 31, 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 96.54 Bn | 94.73 Bn | 1.55 Bn | 17.11 Bn |
| 2 | Ferrovial | 38.99 Bn | 19.58 Bn | - | 15.47 Bn |
| 3 | Emcor | 33.36 Bn | 29.75 Bn | 1.02 Bn | 5.66 Bn |
| 4 | Mastec | 17.15 Bn | 16.06 Bn | 556.28 Mn | 6.93 Bn |
| 5 | Jacobs Solutions | 15.84 Bn | 10.49 Bn | 810.70 Mn | 4.54 Bn |
| 6 | Sterling Infrastructure | 15.09 Bn | 13.45 Bn | 289.96 Mn | 1.73 Bn |
| 7 | IES Holdings | 12.79 Bn | 11.66 Bn | 340.66 Mn | 1.03 Bn |
| 8 | Dycom Industries | 8.06 Bn | 7.19 Bn | - | 4.10 Bn |
| 9 | Stantec | 7.69 Bn | 7.69 Bn | - | 3.45 Bn |
| 10 | DirectBooking Technology | 4.83 Mn | 3.22 Mn | - | 1.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 1.50 Mn |
| Sep 30, 2025 | 2.19 Mn |
| Mar 31, 2025 | 2.86 Mn |
| Sep 30, 2024 | 3.01 Mn |
| Mar 31, 2024 | 3.56 Mn |
| Mar 31, 2023 | 3.19 Mn |
API Access
DirectBooking Technology Total Non-Current 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-non-current-liabilities&ticker=ZDAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=ZDAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();