DataMeds AI (MEDS) Other Operating Expenses (2024 - 2026)
DataMeds AI (MEDS) reported Other Operating Expenses of $1.32 million for Q1 2026, up 51.7% from $868,089 a year earlier but down 90.2% from the prior quarter.
Powered by 
Analysis
DataMeds AI (MEDS) Other Operating Expenses (2024 - 2026) Analysis & Trends
Over the twelve months ended Mar 31, 2026, DataMeds AI's Other Operating Expenses came in at $17.44 million, up 779.5% year-over-year; for FY2025, it came in at $16.99 million.
- By year, Other Operating Expenses came in at $1.11 million in FY2024.
- Five-year quarterly Other Operating Expenses spans a low of $467,423 in Q3 2024 and a high of $13.37 million in Q4 2025.
- Per Business Quant data, the three quarters before Q1 2026 came in at $13.37 million (Q4 2025), $1.61 million (Q3 2025) and $1.15 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unitedhealth | 362.44 Bn | 241.01 Bn | 36.67 Bn |
| 2 | Mckesson | 119.17 Bn | 103.07 Bn | 3.69 Bn |
| 3 | Cvs Health | 117.23 Bn | 69.64 Bn | 47.23 Bn |
| 4 | Elevance Health | 89.43 Bn | -53.16 Bn | 13.65 Bn |
| 5 | Cigna | 77.56 Bn | 46.81 Bn | 14.97 Bn |
| 6 | Cencora | 65.66 Bn | 54.56 Bn | 3.61 Bn |
| 7 | Cardinal Health | 59.91 Bn | 43.75 Bn | 2.56 Bn |
| 8 | Humana | 50.24 Bn | -37.62 Bn | 5.50 Bn |
| 9 | Centene | 33.25 Bn | -61.45 Bn | 9.52 Bn |
| 10 | DataMeds AI | 4.35 Mn | 4.35 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 1.32 Mn |
| Dec 31, 2025 | 13.37 Mn |
| Sep 30, 2025 | 1.61 Mn |
| Jun 30, 2025 | 1.15 Mn |
| Mar 31, 2025 | 868,089.00 |
| Dec 31, 2024 | 647,241.00 |
| Sep 30, 2024 | 467,423.00 |
API Access
DataMeds AI 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=MEDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "MEDS", "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=MEDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();