DataMeds AI (MEDS) Total Liabilities (2023 - 2026)
DataMeds AI (MEDS) recorded Total Liabilities of $45.19 million in Q1 2026, down 15.7% from $53.58 million a year earlier but up 5.3% from the prior quarter.
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Analysis
DataMeds AI (MEDS) Total Liabilities (2023 - 2026) Analysis & Trends
At the end of FY2025, DataMeds AI reported Total Liabilities of $42.91 million, down 15.2% from FY2024.
- Across earlier years, Total Liabilities came in at $50.6 million in FY2024 and $3.24 million in FY2023.
- Quarterly Total Liabilities has ranged from $3.24 million in Q4 2023 to $53.58 million in Q1 2025 over the past five years.
- Per Business Quant, the preceding three quarters came in at $42.91 million (Q4 2025), $46 million (Q3 2025) and $53.32 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Unitedhealth | 368.56 Bn | 253.20 Bn | 36.67 Bn | 205.21 Bn |
| 2 | Cvs Health | 114.92 Bn | 67.52 Bn | 47.23 Bn | 173.87 Bn |
| 3 | Mckesson | 112.02 Bn | 98.48 Bn | 3.69 Bn | 92.57 Bn |
| 4 | Elevance Health | 89.55 Bn | -52.92 Bn | 13.65 Bn | 83.01 Bn |
| 5 | Cigna | 77.96 Bn | 47.51 Bn | 14.97 Bn | 114.17 Bn |
| 6 | Cencora | 61.91 Bn | 51.00 Bn | 3.61 Bn | 80.57 Bn |
| 7 | Cardinal Health | 56.96 Bn | 40.95 Bn | 2.56 Bn | 60.18 Bn |
| 8 | Humana | 49.47 Bn | -38.33 Bn | 5.50 Bn | 37.92 Bn |
| 9 | Centene | 33.18 Bn | -61.45 Bn | 9.52 Bn | 57.00 Bn |
| 10 | DataMeds AI | 6.24 Mn | 6.24 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 45.19 Mn |
| Dec 31, 2025 | 42.91 Mn |
| Sep 30, 2025 | 46.00 Mn |
| Jun 30, 2025 | 53.32 Mn |
| Mar 31, 2025 | 53.58 Mn |
| Dec 31, 2024 | 50.60 Mn |
| Dec 31, 2023 | 3.24 Mn |
API Access
DataMeds AI Total Liabilities 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-liabilities&ticker=MEDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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-liabilities&ticker=MEDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();