DataMeds AI (MEDS) Payables (2023 - 2026)
DataMeds AI (MEDS) recorded Payables of $11.98 million in Q1 2026, up 45.9% from $8.21 million a year earlier and up 2.5% from the prior quarter.
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Analysis
DataMeds AI (MEDS) Payables (2023 - 2026) Analysis & Trends
At the end of FY2025, DataMeds AI reported Payables of $11.69 million, up 84.6% from FY2024.
- Across earlier years, Payables came in at $6.33 million in FY2024 (+509.8%) and $1.04 million in FY2023.
- Quarterly Payables has ranged from $100,000 in Q3 2024 to $14.46 million in Q3 2025 over the past five years.
- Per Business Quant, the preceding three quarters came in at $11.69 million (Q4 2025), $14.46 million (Q3 2025) and $9.48 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | 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 | 7.61 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 | 14.46 Mn |
| Jun 30, 2025 | 9.48 Mn |
| Mar 31, 2025 | 8.21 Mn |
| Dec 31, 2024 | 6.33 Mn |
| Sep 30, 2024 | 100,000.00 |
| Dec 31, 2023 | 1.04 Mn |
API Access
DataMeds AI 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=payables&ticker=MEDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=payables&ticker=MEDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();