DataMeds AI (MEDS) Net Debt Issuances and Repayments (2024 - 2026)
DataMeds AI (MEDS) posted Net Debt Issuances and Repayments of $2.01 million for Q2 2026, down 88.4% from $17.39 million a year earlier and down 47.8% from the prior quarter.
DataMeds AI (MEDS) Net Debt Issuances and Repayments (2024 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Net Debt Issuances and Repayments at DataMeds AI was $8.8 million; for FY2025, it was $19.93 million.
- In prior years, DataMeds AI's Net Debt Issuances and Repayments was $620,703 in FY2024 (+77.3%) and $350,000 in FY2023.
- The Q2 2026 figure stands as the lowest quarterly Net Debt Issuances and Repayments since Q1 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Debt Issuance (Qtr) |
|---|---|---|---|---|---|
| 1 | Unitedhealth | 353.57 Bn | 234.20 Bn | 35.71 Bn | 1.74 Bn |
| 2 | Mckesson | 123.38 Bn | 104.76 Bn | 3.96 Bn | -504.00 Mn |
| 3 | Cvs Health | 107.38 Bn | 56.14 Bn | 47.21 Bn | -770.00 Mn |
| 4 | Elevance Health | 92.31 Bn | -50.27 Bn | 13.65 Bn | 1.28 Bn |
| 5 | Cigna | 77.17 Bn | 46.04 Bn | 15.09 Bn | -552.00 Mn |
| 6 | Cencora | 64.41 Bn | 53.31 Bn | 3.61 Bn | -648.21 Mn |
| 7 | Cardinal Health | 62.87 Bn | 46.04 Bn | 2.60 Bn | -11.00 Mn |
| 8 | Humana | 51.94 Bn | -35.92 Bn | 5.50 Bn | 336.00 Mn |
| 9 | Centene | 34.44 Bn | -60.26 Bn | 9.52 Bn | -568.00 Mn |
| 10 | DataMeds AI | 3.00 Mn | 3.00 Mn | - | 2.25 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.25 Mn |
| Mar 31, 2026 | 3.63 Mn |
| Sep 30, 2025 | 2.92 Mn |
| Jun 30, 2025 | 634,795.00 |
| Mar 31, 2025 | 235,869.00 |
| Mar 31, 2024 | 250,000.00 |
DataMeds AI Net Debt Issuances and Repayments 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=net-debt-issuances-and-repayments&ticker=MEDS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-debt-issuances-and-repayments", "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=net-debt-issuances-and-repayments&ticker=MEDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();