DirectBooking Technology (ZDAI) Non Operating Interest Expenses (2023 - 2024)
DirectBooking Technology's Non Operating Interest Expenses came in at -$183,361 for the year ended Mar 31, 2026, compared with -$224,412 a year earlier.
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Analysis
DirectBooking Technology (ZDAI) Non Operating Interest Expenses (2023 - 2024) Analysis & Trends
Going back to the year ended Mar 31, 2022, DirectBooking Technology's Non Operating Interest Expenses data covers 5 years.
- The figure for the year ended Mar 31, 2026 represents the highest annual Non Operating Interest Expenses since the year ended Mar 31, 2022.
- Per Business Quant, earlier years put Non Operating Interest Expenses at -$224,412 in the year ended Mar 31, 2025, -$210,713 in the year ended Mar 31, 2024, -$190,561 in the year ended Mar 31, 2023 and -$115,978 in the year ended Mar 31, 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 99.60 Bn | 97.78 Bn | 1.55 Bn | 73.55 Mn |
| 2 | Ferrovial | 38.15 Bn | 18.74 Bn | - | - |
| 3 | Emcor | 34.02 Bn | 30.41 Bn | 1.02 Bn | - |
| 4 | Mastec | 17.16 Bn | 16.07 Bn | 556.28 Mn | 47.17 Mn |
| 5 | Jacobs Solutions | 16.37 Bn | 11.02 Bn | 810.70 Mn | 54.65 Mn |
| 6 | Sterling Infrastructure | 15.50 Bn | 13.86 Bn | 289.96 Mn | 3.09 Mn |
| 7 | IES Holdings | 13.16 Bn | 12.02 Bn | 340.66 Mn | 1.01 Mn |
| 8 | Dycom Industries | 8.09 Bn | 7.23 Bn | - | - |
| 9 | Aecom | 7.67 Bn | 3.00 Bn | -34.04 Mn | 47.64 Mn |
| 10 | DirectBooking Technology | 4.86 Mn | 3.25 Mn | - | - |
API Access
DirectBooking Technology Non Operating Interest Expenses 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-operating-interest-expenses&ticker=ZDAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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-operating-interest-expenses&ticker=ZDAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();