DataMeds AI (MEDS) EBT (2024 - 2026)
DataMeds AI's EBT was -$7.74 million in Q1 2026, compared with -$32.43 million a year earlier.
Analysis
DataMeds AI (MEDS) EBT (2024 - 2026) Analysis & Trends
On a trailing twelve-month basis, DataMeds AI's EBT was -$76.59 million through Mar 31, 2026; for FY2025, it came in at -$101.27 million.
- In earlier years, EBT was -$6.86 million in FY2024 and -$2.9 million in FY2023.
- Quarterly EBT has moved between -$34.32 million (Q3 2025) and -$83,122 (Q1 2024) over five years.
- Per Business Quant data, MEDS's EBT in the three quarters before Q1 2026 was -$27.85 million (Q4 2025), -$34.32 million (Q3 2025) and -$6.67 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Unitedhealth | 332.42 Bn | 217.05 Bn | 36.67 Bn | 6.97 Bn |
| 2 | Cvs Health | 109.55 Bn | 62.16 Bn | 47.23 Bn | 3.98 Bn |
| 3 | Mckesson | 99.61 Bn | 86.08 Bn | 3.69 Bn | 1.31 Bn |
| 4 | Elevance Health | 84.30 Bn | -57.44 Bn | 13.45 Bn | 1.94 Bn |
| 5 | Cigna | 71.83 Bn | 41.37 Bn | 14.97 Bn | 2.26 Bn |
| 6 | Cencora | 57.33 Bn | 46.42 Bn | 3.61 Bn | 996.39 Mn |
| 7 | Cardinal Health | 51.76 Bn | 35.76 Bn | 2.56 Bn | 554.00 Mn |
| 8 | Humana | 45.82 Bn | -41.98 Bn | 5.50 Bn | 952.00 Mn |
| 9 | Centene | 30.70 Bn | -59.59 Bn | 14.55 Bn | 1.49 Bn |
| 10 | DataMeds AI | 7.57 Mn | 2.83 Mn | 170,221.00 | -7.74 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -7.74 Mn |
| Dec 31, 2025 | -27.85 Mn |
| Sep 30, 2025 | -34.32 Mn |
| Jun 30, 2025 | -6.67 Mn |
| Mar 31, 2025 | -32.43 Mn |
| Dec 31, 2024 | -4.33 Mn |
| Sep 30, 2024 | -1.87 Mn |
| Jun 30, 2024 | -574,325.00 |
| Mar 31, 2024 | -83,122.00 |
API Access
DataMeds AI EBT 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=ebt&ticker=MEDS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=MEDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();