Dalrada Technology (DHTI) Change in Accured Expenses (2018 - 2026)
Dalrada Technology (DHTI) posted Change in Accured Expenses of $499,594 for fiscal Q3 2026 (quarter ended Mar 31, 2026), compared with -$1.16 million a year earlier and up 243.0% from the prior quarter.
Dalrada Technology (DHTI) Change in Accured Expenses (2018 - 2026) Analysis & Trends
For the trailing twelve months through Mar 31, 2026, Change in Accured Expenses at Dalrada Technology was $3.11 million; for FY2025 (ended Jun 30, 2025), it came in at $256,157, up 28.6% from FY2024.
- Annual Change in Accured Expenses shows a five-year compound annual growth rate of 24.7% (FY2020 to FY2025).
- In prior fiscal years, Dalrada Technology's Change in Accured Expenses was $199,236 in FY2024 (-68.9%), $640,529 in FY2023 (-47.1%), $1.21 million in FY2022 (+226.9%) and $370,789 in FY2021 (+337.1%).
- Quarterly Change in Accured Expenses has run from a low of -$2.5 million in fiscal Q3 2023 to a high of $1.71 million in fiscal Q4 2025 over five years.
- The strongest year-over-year quarter for Change in Accured Expenses in the past five years was fiscal Q1 2022, with growth of 875.3%; the weakest was fiscal Q4 2022, with a decline of 53.8%.
- According to Business Quant data, Change in Accured Expenses for the three prior fiscal quarters was $145,634 (Q2 2026), $756,075 (Q1 2026) and $1.71 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Unitedhealth | 336.54 Bn | 221.18 Bn | 36.67 Bn | 97.00 Mn |
| 2 | Cvs Health | 110.50 Bn | 63.10 Bn | 47.23 Bn | - |
| 3 | Mckesson | 105.27 Bn | 91.73 Bn | 3.69 Bn | - |
| 4 | Elevance Health | 83.85 Bn | -57.90 Bn | 13.45 Bn | 1.24 Bn |
| 5 | Cigna | 71.48 Bn | 41.02 Bn | 14.97 Bn | - |
| 6 | Cencora | 58.97 Bn | 48.06 Bn | 3.61 Bn | 36.14 Mn |
| 7 | Cardinal Health | 53.10 Bn | 37.10 Bn | 2.56 Bn | - |
| 8 | Humana | 46.62 Bn | -41.18 Bn | 5.50 Bn | - |
| 9 | Centene | 31.12 Bn | -59.17 Bn | 14.55 Bn | 1.34 Bn |
| 10 | Dalrada Technology | 1.20 Mn | -545,340.90 | 780,444.00 | 499,594.00 |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 499,594.00 |
| Dec 31, 2025 | 145,634.00 |
| Sep 30, 2025 | 756,075.00 |
| Jun 30, 2025 | 1.71 Mn |
| Mar 31, 2025 | -1.16 Mn |
| Dec 31, 2024 | -390,220.00 |
| Sep 30, 2024 | 99,858.00 |
| Jun 30, 2024 | -79,193.00 |
| Mar 31, 2024 | 442,278.00 |
| Dec 31, 2023 | -112,396.00 |
| Sep 30, 2023 | -51,453.00 |
| Jun 30, 2023 | 858,271.00 |
| Mar 31, 2023 | -2.50 Mn |
| Dec 31, 2022 | 917,088.00 |
| Sep 30, 2022 | 1.36 Mn |
| Jun 30, 2022 | 111,135.00 |
| Mar 31, 2022 | 171,848.00 |
| Dec 31, 2021 | 217,387.00 |
| Sep 30, 2021 | 711,573.00 |
| Jun 30, 2021 | 240,762.00 |
Dalrada Technology Change in Accured 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=change-in-accured-expenses&ticker=DHTI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "DHTI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=change-in-accured-expenses&ticker=DHTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();