Dalrada Technology (DHTI) Operating Expenses (2018 - 2026)
Dalrada Technology (DHTI) reported Operating Expenses of $4.06 million for fiscal Q3 2026 (quarter ended Mar 31, 2026), down 23.9% from $5.34 million a year earlier and down 13.5% from the prior quarter.
Dalrada Technology (DHTI) Operating Expenses (2018 - 2026) Analysis & Trends
Over the twelve months ended Mar 31, 2026, Dalrada Technology's Operating Expenses came in at $22.29 million, down 16.4% year-over-year; for FY2025 (ended Jun 30, 2025), it was $25.76 million, down 7.4% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 51.4% (FY2020 to FY2025).
- By fiscal year, Operating Expenses came in at $27.82 million in FY2024 (-7.3%), $30.02 million in FY2023 (+43.4%), $20.94 million in FY2022 (+120.3%) and $9.5 million in FY2021 (+193.2%).
- The fiscal Q3 2026 figure ranks as the lowest quarterly Operating Expenses since fiscal Q4 2021.
- Year over year, Operating Expenses has now declined in each of the last six quarters, with an average decline of 13.8% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was fiscal Q4 2021 (growth of 270.5%); the low point was fiscal Q4 2024 (a decline of 26.2%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $4.7 million (Q2 2026), $5.88 million (Q1 2026) and $7.65 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Unitedhealth | 336.54 Bn | 221.18 Bn | 36.67 Bn | 104.04 Bn |
| 2 | Cvs Health | 110.50 Bn | 63.10 Bn | 47.23 Bn | 101.39 Bn |
| 3 | Mckesson | 105.27 Bn | 91.73 Bn | 3.69 Bn | 2.37 Bn |
| 4 | Elevance Health | 83.85 Bn | -57.90 Bn | 13.45 Bn | 48.54 Bn |
| 5 | Cigna | 71.48 Bn | 41.02 Bn | 14.97 Bn | 68.99 Bn |
| 6 | Cencora | 58.97 Bn | 48.06 Bn | 3.61 Bn | 2.28 Bn |
| 7 | Cardinal Health | 53.10 Bn | 37.10 Bn | 2.56 Bn | 1.67 Bn |
| 8 | Humana | 46.62 Bn | -41.18 Bn | 5.50 Bn | 39.51 Bn |
| 9 | Centene | 31.12 Bn | -59.17 Bn | 14.55 Bn | 52.38 Bn |
| 10 | Dalrada Technology | 1.20 Mn | -545,340.90 | 780,444.00 | 4.06 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 4.06 Mn |
| Dec 31, 2025 | 4.70 Mn |
| Sep 30, 2025 | 5.88 Mn |
| Jun 30, 2025 | 7.65 Mn |
| Mar 31, 2025 | 5.34 Mn |
| Dec 31, 2024 | 5.88 Mn |
| Sep 30, 2024 | 6.89 Mn |
| Jun 30, 2024 | 8.55 Mn |
| Mar 31, 2024 | 7.00 Mn |
| Dec 31, 2023 | 6.23 Mn |
| Sep 30, 2023 | 6.04 Mn |
| Jun 30, 2023 | 11.58 Mn |
| Mar 31, 2023 | 6.50 Mn |
| Dec 31, 2022 | 7.08 Mn |
| Sep 30, 2022 | 4.86 Mn |
| Jun 30, 2022 | 4.94 Mn |
| Mar 31, 2022 | 6.46 Mn |
| Dec 31, 2021 | 5.29 Mn |
| Sep 30, 2021 | 4.31 Mn |
| Jun 30, 2021 | 3.46 Mn |
Dalrada 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=DHTI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=DHTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();