DataMeds AI (MEDS) Times Interest Earned (2024 - 2026)
DataMeds AI's (MEDS) Times Interest Earned was -2.90 for Q1 2026, compared with -28.64 a year earlier.
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Analysis
DataMeds AI (MEDS) Times Interest Earned (2024 - 2026) Analysis & Trends
Over the twelve months ended Mar 31, 2026, DataMeds AI's Times Interest Earned came in at -12.31; for FY2025, it came in at -20.47.
- By year, Times Interest Earned came in at -7.39 in FY2024 and -191.01 in FY2023.
- The Q1 2026 figure ranks as the highest quarterly Times Interest Earned in data going back to Q1 2024.
- Per Business Quant data, the three quarters before Q1 2026 came in at -28.95 (Q4 2025), -22.13 (Q3 2025) and -4.65 (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Times Interest Earned (Qtr) |
|---|---|---|---|---|---|
| 1 | Unitedhealth | 332.42 Bn | 217.05 Bn | 36.67 Bn | 8.31 |
| 2 | Cvs Health | 109.55 Bn | 62.16 Bn | 47.23 Bn | 6.21 |
| 3 | Mckesson | 99.61 Bn | 86.08 Bn | 3.69 Bn | 17.13 |
| 4 | Elevance Health | 84.30 Bn | -57.44 Bn | 13.45 Bn | -96.39 |
| 5 | Cigna | 71.83 Bn | 41.37 Bn | 14.97 Bn | - |
| 6 | Cencora | 57.33 Bn | 46.42 Bn | 3.61 Bn | - |
| 7 | Cardinal Health | 51.76 Bn | 35.76 Bn | 2.56 Bn | 9.23 |
| 8 | Humana | 45.82 Bn | -41.98 Bn | 5.50 Bn | 6.90 |
| 9 | Centene | 30.70 Bn | -59.59 Bn | 14.55 Bn | 7.83 |
| 10 | DataMeds AI | 7.57 Mn | 2.83 Mn | 170,221.00 | -2.90 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -2.90 |
| Dec 31, 2025 | -28.95 |
| Sep 30, 2025 | -22.13 |
| Jun 30, 2025 | -4.65 |
| Mar 31, 2025 | -28.64 |
| Dec 31, 2024 | -5.44 |
| Sep 30, 2024 | -12.68 |
| Jun 30, 2024 | -437.75 |
| Mar 31, 2024 | -23.75 |
API Access
DataMeds AI Times Interest Earned 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=times-interest-earned&ticker=MEDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "times-interest-earned", "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=times-interest-earned&ticker=MEDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();