DataMeds AI (MEDS) Accounts Payables (2023 - 2026)
DataMeds AI's Accounts Payables was $11.98 million in Q1 2026, up 45.9% from $8.21 million a year earlier and up 2.5% from the prior quarter.
Analysis
DataMeds AI (MEDS) Accounts Payables (2023 - 2026) Analysis & Trends
At the end of FY2025, Accounts Payables at DataMeds AI came in at $11.69 million, up 84.6% from FY2024.
- In earlier years, Accounts Payables was $6.33 million in FY2024 (+509.8%) and $1.04 million in FY2023.
- Per Business Quant data, MEDS's Accounts Payables in the three quarters before Q1 2026 was $11.69 million (Q4 2025), $10.44 million (Q3 2025) and $9.48 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Unitedhealth | 332.42 Bn | 217.05 Bn | 36.67 Bn | 39.74 Bn |
| 2 | Cvs Health | 109.55 Bn | 62.16 Bn | 47.23 Bn | 17.17 Bn |
| 3 | Mckesson | 99.61 Bn | 86.08 Bn | 3.69 Bn | 63.73 Bn |
| 4 | Elevance Health | 84.30 Bn | -57.44 Bn | 13.45 Bn | 6.63 Bn |
| 5 | Cigna | 71.83 Bn | 41.37 Bn | 14.97 Bn | 10.41 Bn |
| 6 | Cencora | 57.33 Bn | 46.42 Bn | 3.61 Bn | 54.70 Bn |
| 7 | Cardinal Health | 51.76 Bn | 35.76 Bn | 2.56 Bn | 38.28 Bn |
| 8 | Humana | 45.82 Bn | -41.98 Bn | 5.50 Bn | 7.26 Bn |
| 9 | Centene | 30.70 Bn | -59.59 Bn | 14.55 Bn | 17.97 Bn |
| 10 | DataMeds AI | 7.57 Mn | 2.83 Mn | 170,221.00 | 11.98 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 11.98 Mn |
| Dec 31, 2025 | 11.69 Mn |
| Sep 30, 2025 | 10.44 Mn |
| Jun 30, 2025 | 9.48 Mn |
| Mar 31, 2025 | 8.21 Mn |
| Dec 31, 2024 | 6.33 Mn |
| Dec 31, 2023 | 1.04 Mn |
API Access
DataMeds AI Accounts Payables 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=accounts-payables&ticker=MEDS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "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=accounts-payables&ticker=MEDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();