DirectBooking Technology (ZDAI) Other Accumulated Expenses (2023 - 2026)
DirectBooking Technology (ZDAI) reported Other Accumulated Expenses of $1.71 million for the quarter ended Mar 31, 2026, up 148.9% from $686,326 a year earlier.
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Analysis
DirectBooking Technology (ZDAI) Other Accumulated Expenses (2023 - 2026) Analysis & Trends
Dating back to the quarter ended Mar 31, 2023, DirectBooking Technology's Other Accumulated Expenses record includes 6 quarters.
- Other Accumulated Expenses has a three-year compound annual growth rate of 46.3% (years ended Mar 2023 to Mar 2026).
- By year, Other Accumulated Expenses came in at $686,326 in the year ended Mar 31, 2025 (+248.6%), $196,906 in the year ended Mar 31, 2024 (-63.9%) and $545,063 in the year ended Mar 31, 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Quanta Services | 101.70 Bn | 99.89 Bn | 1.55 Bn |
| 2 | Ferrovial | 38.65 Bn | 19.25 Bn | - |
| 3 | Emcor | 34.80 Bn | 31.19 Bn | 1.02 Bn |
| 4 | Mastec | 17.34 Bn | 16.24 Bn | 556.28 Mn |
| 5 | Sterling Infrastructure | 16.37 Bn | 14.73 Bn | 289.96 Mn |
| 6 | Jacobs Solutions | 16.17 Bn | 10.82 Bn | 810.70 Mn |
| 7 | IES Holdings | 13.52 Bn | 12.39 Bn | 340.66 Mn |
| 8 | Dycom Industries | 8.20 Bn | 7.33 Bn | - |
| 9 | Stantec | 7.70 Bn | 7.70 Bn | - |
| 10 | DirectBooking Technology | 4.73 Mn | 3.12 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 1.71 Mn |
| Sep 30, 2025 | 625,219.00 |
| Mar 31, 2025 | 686,326.00 |
| Sep 30, 2024 | 356,363.00 |
| Mar 31, 2024 | 196,906.00 |
| Mar 31, 2023 | 545,063.00 |
API Access
DirectBooking Technology Other Accumulated 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=other-accumulated-expenses&ticker=ZDAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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=other-accumulated-expenses&ticker=ZDAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();