DataMeds AI (MEDS) Interest Expenses (2024 - 2026)
DataMeds AI's Interest Expenses came in at $2.07 million for Q1 2026, up 89.4% from $1.09 million a year earlier and up 136.7% from the prior quarter.
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Analysis
DataMeds AI (MEDS) Interest Expenses (2024 - 2026) Analysis & Trends
Over the trailing twelve months to Mar 31, 2026, DataMeds AI reported Interest Expenses of $5.56 million, up 189.1% year-over-year; for FY2025, it came in at $4.58 million, up 450.8% from FY2024.
- Going back by year, Interest Expenses was $831,467 in FY2024 and $15,081 in FY2023.
- The Q1 2026 figure represents the highest quarterly Interest Expenses in data going back to Q1 2024.
- Year-over-year, Interest Expenses has increased for three consecutive quarters.
- Business Quant data shows MEDS's Interest Expenses at $875,719 (Q4 2025), $1.43 million (Q3 2025) and $1.18 million (Q2 2025) in the three quarters before Q1 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Unitedhealth | 332.42 Bn | 217.05 Bn | 36.67 Bn | 962.00 Mn |
| 2 | Cvs Health | 109.55 Bn | 62.16 Bn | 47.23 Bn | 757.00 Mn |
| 3 | Mckesson | 99.61 Bn | 86.08 Bn | 3.69 Bn | 77.00 Mn |
| 4 | Elevance Health | 84.30 Bn | -57.44 Bn | 13.45 Bn | 364.00 Mn |
| 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 | 79.00 Mn |
| 8 | Humana | 45.82 Bn | -41.98 Bn | 5.50 Bn | 197.00 Mn |
| 9 | Centene | 30.70 Bn | -59.59 Bn | 14.55 Bn | 153.00 Mn |
| 10 | DataMeds AI | 7.57 Mn | 2.83 Mn | 170,221.00 | 2.07 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 2.07 Mn |
| Dec 31, 2025 | 875,719.00 |
| Sep 30, 2025 | 1.43 Mn |
| Jun 30, 2025 | 1.18 Mn |
| Mar 31, 2025 | 1.09 Mn |
| Dec 31, 2024 | 689,186.00 |
| Sep 30, 2024 | 137,614.00 |
| Jun 30, 2024 | 1,309.00 |
| Mar 31, 2024 | 3,358.00 |
API Access
DataMeds AI Interest Expenses 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=interest-expenses&ticker=MEDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=MEDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();