Dalrada Technology (DHTI) Other Operating Expenses (2018 - 2025)
Dalrada Technology's Other Operating Expenses was $2.74 million in fiscal Q4 2025 (quarter ended Jun 30, 2025).
Powered by 
Analysis
Dalrada Technology (DHTI) Other Operating Expenses (2018 - 2025) Analysis & Trends
From fiscal Q2 2019 onward, Dalrada Technology has reported Other Operating Expenses for 8 quarters.
- Other Operating Expenses shows a five-year compound annual growth rate of 542.4% (FY2020 to FY2025).
- In earlier fiscal years, Other Operating Expenses was $433,556 in FY2023 (+98.6%) and $218,308 in FY2022.
- The fiscal Q4 2025 figure marks the highest quarterly Other Operating Expenses in data going back to fiscal Q2 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unitedhealth | 336.54 Bn | 221.18 Bn | 36.67 Bn |
| 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 |
| 5 | Cigna | 71.48 Bn | 41.02 Bn | 14.97 Bn |
| 6 | Cencora | 58.97 Bn | 48.06 Bn | 3.61 Bn |
| 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 |
| 10 | Dalrada Technology | 1.20 Mn | -545,340.90 | 780,444.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | 2.74 Mn |
| Jun 30, 2023 | 433,556.00 |
| Jun 30, 2022 | 218,308.00 |
| Jun 30, 2020 | -169,904.00 |
| Mar 31, 2020 | -355.00 |
| Dec 31, 2019 | 20,433.00 |
| Sep 30, 2019 | 149,826.00 |
| Dec 31, 2018 | 108,858.00 |
API Access
Dalrada Technology Other 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=other-operating-expenses&ticker=DHTI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=DHTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();