DataMeds AI (MEDS) EBIT (2024 - 2026)
DataMeds AI (MEDS) posted EBIT of -$6.02 million for Q1 2026, compared with -$31.35 million a year earlier.
Analysis
DataMeds AI (MEDS) EBIT (2024 - 2026) Analysis & Trends
For the trailing twelve months through Mar 31, 2026, EBIT at DataMeds AI was -$68.42 million; for FY2025, it was -$93.75 million.
- In prior years, DataMeds AI's EBIT was -$6.15 million in FY2024 and -$2.88 million in FY2023.
- Quarterly EBIT has run from a low of -$31.55 million in Q3 2025 to a high of -$79,764 in Q1 2024 over five years.
- According to Business Quant data, EBIT for the three prior quarters was -$25.35 million (Q4 2025), -$31.55 million (Q3 2025) and -$5.5 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Unitedhealth | 369.07 Bn | 247.64 Bn | 36.67 Bn | 7.99 Bn |
| 2 | Cvs Health | 117.28 Bn | 69.69 Bn | 47.23 Bn | 4.70 Bn |
| 3 | Mckesson | 115.77 Bn | 99.67 Bn | 3.69 Bn | 1.32 Bn |
| 4 | Elevance Health | 91.18 Bn | -51.41 Bn | 13.65 Bn | 2.15 Bn |
| 5 | Cigna | 79.22 Bn | 48.47 Bn | 14.97 Bn | 2.68 Bn |
| 6 | Cencora | 63.20 Bn | 52.09 Bn | 3.61 Bn | 1.12 Bn |
| 7 | Cardinal Health | 58.50 Bn | 42.33 Bn | 2.56 Bn | 729.00 Mn |
| 8 | Humana | 49.51 Bn | -38.35 Bn | 5.50 Bn | 1.36 Bn |
| 9 | Centene | 34.05 Bn | -56.30 Bn | 14.55 Bn | 1.20 Bn |
| 10 | DataMeds AI | 5.30 Mn | 5.30 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -6.02 Mn |
| Dec 31, 2025 | -25.35 Mn |
| Sep 30, 2025 | -31.55 Mn |
| Jun 30, 2025 | -5.50 Mn |
| Mar 31, 2025 | -31.35 Mn |
| Dec 31, 2024 | -3.75 Mn |
| Sep 30, 2024 | -1.74 Mn |
| Jun 30, 2024 | -573,016.00 |
| Mar 31, 2024 | -79,764.00 |
API Access
DataMeds AI EBIT 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=ebit&ticker=MEDS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=MEDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();