DirectBooking Technology (ZDAI) Debt Ratio (2023 - 2026)
DirectBooking Technology's (ZDAI) Debt Ratio came in at 0.04 for the quarter ended Mar 31, 2026, down 27.4% from 0.06 a year earlier.
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Analysis
DirectBooking Technology (ZDAI) Debt Ratio (2023 - 2026) Analysis & Trends
Since the quarter ended Mar 31, 2023, DirectBooking Technology has reported Debt Ratio for 6 quarters.
- Annual Debt Ratio has declined for three consecutive years.
- In prior years, DirectBooking Technology's Debt Ratio was 0.06 in the year ended Mar 31, 2025 (-38.9%), 0.10 in the year ended Mar 31, 2024 (-12.2%) and 0.11 in the year ended Mar 31, 2023.
- The figure for the quarter ended Mar 31, 2026 stands as the lowest quarterly Debt Ratio since the quarter ended Sep 30, 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 96.54 Bn | 94.73 Bn | 1.55 Bn | 0.22 |
| 2 | Ferrovial | 38.99 Bn | 19.58 Bn | - | 0.35 |
| 3 | Emcor | 33.36 Bn | 29.75 Bn | 1.02 Bn | - |
| 4 | Mastec | 17.15 Bn | 16.06 Bn | 556.28 Mn | 0.25 |
| 5 | Jacobs Solutions | 15.84 Bn | 10.49 Bn | 810.70 Mn | 0.30 |
| 6 | Sterling Infrastructure | 15.09 Bn | 13.45 Bn | 289.96 Mn | 0.09 |
| 7 | IES Holdings | 12.79 Bn | 11.66 Bn | 340.66 Mn | - |
| 8 | Dycom Industries | 8.06 Bn | 7.19 Bn | - | 0.47 |
| 9 | Stantec | 7.69 Bn | 7.69 Bn | - | 0.04 |
| 10 | DirectBooking Technology | 4.83 Mn | 3.22 Mn | - | 0.04 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 0.04 |
| Sep 30, 2025 | 0.08 |
| Mar 31, 2025 | 0.06 |
| Sep 30, 2024 | 0.01 |
| Mar 31, 2024 | 0.10 |
| Mar 31, 2023 | 0.11 |
API Access
DirectBooking Technology Debt Ratio 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=debt-ratio&ticker=ZDAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "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=debt-ratio&ticker=ZDAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();