DataMeds AI (MEDS) EBITDA (2024 - 2026)
DataMeds AI's EBITDA was -$5.66 million in Q1 2026, compared with -$30.55 million a year earlier.
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Analysis
DataMeds AI (MEDS) EBITDA (2024 - 2026) Analysis & Trends
On a trailing twelve-month basis, DataMeds AI's EBITDA was -$65.65 million through Mar 31, 2026; for FY2025, it came in at -$90.54 million.
- In earlier years, EBITDA was -$5.03 million in FY2024.
- Quarterly EBITDA has moved between -$30.75 million (Q3 2025) and -$573,016 (Q2 2024) over five years.
- Per Business Quant data, MEDS's EBITDA in the three quarters before Q1 2026 was -$24.55 million (Q4 2025), -$30.75 million (Q3 2025) and -$4.7 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Unitedhealth | 332.42 Bn | 217.05 Bn | 36.67 Bn | 9.03 Bn |
| 2 | Cvs Health | 109.55 Bn | 62.16 Bn | 47.23 Bn | 5.83 Bn |
| 3 | Mckesson | 99.61 Bn | 86.08 Bn | 3.69 Bn | 1.51 Bn |
| 4 | Elevance Health | 84.30 Bn | -57.44 Bn | 13.45 Bn | -34.72 Bn |
| 5 | Cigna | 71.83 Bn | 41.37 Bn | 14.97 Bn | 3.33 Bn |
| 6 | Cencora | 57.33 Bn | 46.42 Bn | 3.61 Bn | 1.40 Bn |
| 7 | Cardinal Health | 51.76 Bn | 35.76 Bn | 2.56 Bn | 970.00 Mn |
| 8 | Humana | 45.82 Bn | -41.98 Bn | 5.50 Bn | 1.55 Bn |
| 9 | Centene | 30.70 Bn | -59.59 Bn | 14.55 Bn | 1.50 Bn |
| 10 | DataMeds AI | 7.57 Mn | 2.83 Mn | 170,221.00 | -5.66 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -5.66 Mn |
| Dec 31, 2025 | -24.55 Mn |
| Sep 30, 2025 | -30.75 Mn |
| Jun 30, 2025 | -4.70 Mn |
| Mar 31, 2025 | -30.55 Mn |
| Dec 31, 2024 | -3.10 Mn |
| Sep 30, 2024 | -1.29 Mn |
| Jun 30, 2024 | -573,016.00 |
API Access
DataMeds AI EBITDA 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=ebitda&ticker=MEDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=MEDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();