DirectBooking Technology (ZDAI) Selling, General & Administrative (2023 - 2024)
DirectBooking Technology (ZDAI) posted Selling, General & Administrative of -$11.81 million for the year ended Mar 31, 2026, compared with -$8.85 million a year earlier.
DirectBooking Technology (ZDAI) Selling, General & Administrative (2023 - 2024) Analysis & Trends
Since the year ended Mar 31, 2022, DirectBooking Technology has reported Selling, General & Administrative for 5 years.
- The figure for the year ended Mar 31, 2026 stands as the lowest annual Selling, General & Administrative in data going back to the year ended Mar 31, 2022.
- Business Quant data shows ZDAI's Selling, General & Administrative at -$8.85 million in the year ended Mar 31, 2025, -$1.34 million in the year ended Mar 31, 2024, -$1.19 million in the year ended Mar 31, 2023 and -$694,121 in the year ended Mar 31, 2022.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 101.70 Bn | 99.89 Bn | 1.55 Bn | 698.49 Mn |
| 2 | Ferrovial | 38.65 Bn | 19.25 Bn | - | - |
| 3 | Emcor | 34.80 Bn | 31.19 Bn | 1.02 Bn | 475.04 Mn |
| 4 | Mastec | 17.34 Bn | 16.24 Bn | 556.28 Mn | 206.47 Mn |
| 5 | Sterling Infrastructure | 16.37 Bn | 14.73 Bn | 289.96 Mn | 53.13 Mn |
| 6 | Jacobs Solutions | 16.17 Bn | 10.82 Bn | 810.70 Mn | 524.00 Mn |
| 7 | IES Holdings | 13.52 Bn | 12.39 Bn | 340.66 Mn | 162.17 Mn |
| 8 | Dycom Industries | 8.20 Bn | 7.33 Bn | - | - |
| 9 | Stantec | 7.70 Bn | 7.70 Bn | - | 937.27 Mn |
| 10 | DirectBooking Technology | 4.73 Mn | 3.12 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | -784,754.00 |
| Sep 30, 2023 | -668,635.00 |
DirectBooking Technology Selling, General & Administrative 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=selling-general-and-administrative&ticker=ZDAI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=ZDAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();