DataMeds AI (MEDS) EBITDA Margin (2024 - 2026)
DataMeds AI (MEDS) reported EBITDA Margin of -362.84% for Q1 2026, down 81.66 percentage points from -281.18% a year earlier but up 1106.62 percentage points from the prior quarter.
DataMeds AI (MEDS) EBITDA Margin (2024 - 2026) Analysis & Trends
Over the twelve months ended Mar 31, 2026, DataMeds AI's EBITDA Margin came in at -467.80%, down 345.32 percentage points year-over-year; for FY2025, it was -387.94%, down 360.20 percentage points from FY2024.
- By year, EBITDA Margin came in at -27.75% in FY2024.
- Five-year quarterly EBITDA Margin spans a low of -1469.46% in Q4 2025 and a high of -22.74% in Q3 2024.
- Year over year, EBITDA Margin has now declined in each of the last three quarters, with an average year-over-year change of -324.41 percentage points over the last four quarters.
- Per Business Quant data, the three quarters before Q1 2026 came in at -1469.46% (Q4 2025), -1020.46% (Q3 2025) and -60.30% (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Unitedhealth | 332.42 Bn | 217.05 Bn | 36.67 Bn | 8.06% |
| 2 | Cvs Health | 109.55 Bn | 62.16 Bn | 47.23 Bn | 5.49% |
| 3 | Mckesson | 99.61 Bn | 86.08 Bn | 3.69 Bn | 1.44% |
| 4 | Elevance Health | 84.30 Bn | -57.44 Bn | 13.45 Bn | -68.79% |
| 5 | Cigna | 71.83 Bn | 41.37 Bn | 14.97 Bn | 4.65% |
| 6 | Cencora | 57.33 Bn | 46.42 Bn | 3.61 Bn | 1.65% |
| 7 | Cardinal Health | 51.76 Bn | 35.76 Bn | 2.56 Bn | 1.52% |
| 8 | Humana | 45.82 Bn | -41.98 Bn | 5.50 Bn | 3.79% |
| 9 | Centene | 30.70 Bn | -59.59 Bn | 14.55 Bn | 2.80% |
| 10 | DataMeds AI | 7.57 Mn | 2.83 Mn | 170,221.00 | -362.84% |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -362.84% |
| Dec 31, 2025 | -1,469.46% |
| Sep 30, 2025 | -1,020.46% |
| Jun 30, 2025 | -60.30% |
| Mar 31, 2025 | -281.18% |
| Dec 31, 2024 | -24.98% |
| Sep 30, 2024 | -22.74% |
| Jun 30, 2024 | -1,286.52% |
DataMeds AI EBITDA Margin 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-margin&ticker=MEDS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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-margin&ticker=MEDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();