DirectBooking Technology (ZDAI) Receivables (2023 - 2026)
DirectBooking Technology (ZDAI) posted Receivables of $4.05 million for the quarter ended Mar 31, 2026, down 47.6% from $7.71 million a year earlier.
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Analysis
DirectBooking Technology (ZDAI) Receivables (2023 - 2026) Analysis & Trends
Since the quarter ended Mar 31, 2023, DirectBooking Technology has reported Receivables for 6 quarters.
- Annual Receivables shows a three-year compound annual growth rate of -27.3% (years ended Mar 2023 to Mar 2026).
- In prior years, DirectBooking Technology's Receivables was $7.71 million in the year ended Mar 31, 2025 (+6.7%), $7.23 million in the year ended Mar 31, 2024 (-31.4%) and $10.54 million in the year ended Mar 31, 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 89.81 Bn | 87.89 Bn | 1.55 Bn | 10.07 Bn |
| 2 | Ferrovial | 35.40 Bn | 13.65 Bn | - | 3.21 Bn |
| 3 | Emcor | 31.21 Bn | 27.60 Bn | 1.02 Bn | 5.50 Bn |
| 4 | Jacobs Solutions | 16.43 Bn | 11.10 Bn | 810.70 Mn | 5.10 Bn |
| 5 | Mastec | 14.65 Bn | 13.43 Bn | 556.28 Mn | 4.23 Bn |
| 6 | Sterling Infrastructure | 12.67 Bn | 10.99 Bn | 289.96 Mn | - |
| 7 | IES Holdings | 9.64 Bn | 8.50 Bn | 340.66 Mn | 753.73 Mn |
| 8 | Stantec | 7.86 Bn | 6.79 Bn | 1.36 Bn | 1.11 Bn |
| 9 | Aecom | 7.59 Bn | 2.71 Bn | -34.04 Mn | 4.50 Bn |
| 10 | DirectBooking Technology | 4.18 Mn | 2.57 Mn | - | 4.05 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 4.05 Mn |
| Sep 30, 2025 | 1.32 Mn |
| Mar 31, 2025 | 7.71 Mn |
| Sep 30, 2024 | 179,818.00 |
| Mar 31, 2024 | 5.73 Mn |
| Mar 31, 2023 | 7.76 Mn |
API Access
DirectBooking Technology Receivables 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=receivables&ticker=ZDAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=ZDAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();