DataMeds AI (MEDS) Total Debt (2023 - 2026)
DataMeds AI (MEDS) recorded Total Debt of $19.21 million in Q2 2026, down 17.5% from $23.28 million a year earlier and down 30.8% from the prior quarter.
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Analysis
DataMeds AI (MEDS) Total Debt (2023 - 2026) Analysis & Trends
At the end of FY2025, DataMeds AI reported Total Debt of $23.49 million, up 96.0% from FY2024.
- Across earlier years, Total Debt came in at $11.98 million in FY2024 and $350,000 in FY2023.
- The Q2 2026 figure is the lowest quarterly Total Debt since Q4 2024.
- Per Business Quant, the preceding three quarters came in at $27.77 million (Q1 2026), $23.49 million (Q4 2025) and $28.83 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Unitedhealth | 368.56 Bn | 253.20 Bn | 36.67 Bn | 73.33 Bn |
| 2 | Cvs Health | 114.92 Bn | 67.52 Bn | 47.23 Bn | 61.41 Bn |
| 3 | Mckesson | 112.02 Bn | 98.48 Bn | 3.69 Bn | 9.73 Bn |
| 4 | Elevance Health | 89.55 Bn | -52.92 Bn | 13.65 Bn | 30.76 Bn |
| 5 | Cigna | 77.96 Bn | 47.51 Bn | 14.97 Bn | 31.88 Bn |
| 6 | Cencora | 61.91 Bn | 51.00 Bn | 3.61 Bn | 11.72 Bn |
| 7 | Cardinal Health | 56.96 Bn | 40.95 Bn | 2.56 Bn | 8.89 Bn |
| 8 | Humana | 49.47 Bn | -38.33 Bn | 5.50 Bn | 14.60 Bn |
| 9 | Centene | 33.18 Bn | -61.45 Bn | 9.52 Bn | 15.54 Bn |
| 10 | DataMeds AI | 6.24 Mn | 6.24 Mn | - | 19.21 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.21 Mn |
| Mar 31, 2026 | 27.77 Mn |
| Dec 31, 2025 | 23.49 Mn |
| Sep 30, 2025 | 28.83 Mn |
| Jun 30, 2025 | 23.28 Mn |
| Mar 31, 2025 | 24.11 Mn |
| Dec 31, 2024 | 11.98 Mn |
| Sep 30, 2024 | 100,000.00 |
| Dec 31, 2023 | 350,000.00 |
API Access
DataMeds AI Total Debt 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=total-debt&ticker=MEDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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=total-debt&ticker=MEDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();