DirectBooking Technology (ZDAI) Operating Expenses (2023 - 2024)
DirectBooking Technology's Operating Expenses was -$11.81 million in the year ended Mar 31, 2026, compared with -$8.85 million a year earlier.
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Analysis
DirectBooking Technology (ZDAI) Operating Expenses (2023 - 2024) Analysis & Trends
From the year ended Mar 31, 2022 onward, DirectBooking Technology has reported Operating Expenses for 5 years.
- The figure for the year ended Mar 31, 2026 marks the lowest annual Operating Expenses in data going back to the year ended Mar 31, 2022.
- Per Business Quant data, Operating Expenses in earlier years was -$8.85 million in the year ended Mar 31, 2025, -$1.34 million in the year ended Mar 31, 2024, -$769.00 in the year ended Mar 31, 2023 and -$694,121 in the year ended Mar 31, 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 97.98 Bn | 96.16 Bn | 1.55 Bn | 698.49 Mn |
| 2 | Ferrovial | 39.32 Bn | 19.92 Bn | - | - |
| 3 | Emcor | 33.71 Bn | 30.10 Bn | 1.02 Bn | 475.04 Mn |
| 4 | Mastec | 16.89 Bn | 15.80 Bn | 556.28 Mn | 292.57 Mn |
| 5 | Jacobs Solutions | 15.97 Bn | 10.63 Bn | 810.70 Mn | 524.00 Mn |
| 6 | Sterling Infrastructure | 15.50 Bn | 13.86 Bn | 289.96 Mn | 65.66 Mn |
| 7 | IES Holdings | 12.93 Bn | 11.79 Bn | 340.66 Mn | 162.17 Mn |
| 8 | Dycom Industries | 8.06 Bn | 7.20 Bn | - | - |
| 9 | Stantec | 7.67 Bn | 7.67 Bn | - | 972.05 Mn |
| 10 | DirectBooking Technology | 4.83 Mn | 3.22 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | -784,754.00 |
| Sep 30, 2023 | -668,635.00 |
API Access
DirectBooking Technology Operating 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=operating-expenses&ticker=ZDAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=ZDAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();