DataMeds AI (MEDS) Cash & Equivalents (2023 - 2026)
DataMeds AI (MEDS) posted Cash & Equivalents of $51,730 for Q1 2026, down 97.9% from $2.52 million a year earlier but up 21.5% from the prior quarter.
DataMeds AI (MEDS) Cash & Equivalents (2023 - 2026) Analysis & Trends
At the end of FY2025, DataMeds AI's Cash & Equivalents came in at $42,571, down 95.9% from FY2024.
- In prior years, DataMeds AI's Cash & Equivalents was $1.03 million in FY2024 and $1,364 in FY2023.
- Quarterly Cash & Equivalents has run from a low of $1,364 in Q4 2023 to a high of $4.23 million in Q3 2025 over five years.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $42,571 (Q4 2025), $4.23 million (Q3 2025) and $419,942 (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Unitedhealth | 336.54 Bn | 221.18 Bn | 36.67 Bn | 28.59 Bn |
| 2 | Cvs Health | 110.50 Bn | 63.10 Bn | 47.23 Bn | 11.33 Bn |
| 3 | Mckesson | 105.27 Bn | 91.73 Bn | 3.69 Bn | 5.16 Bn |
| 4 | Elevance Health | 83.85 Bn | -57.90 Bn | 13.45 Bn | 10.23 Bn |
| 5 | Cigna | 71.48 Bn | 41.02 Bn | 14.97 Bn | 6.30 Bn |
| 6 | Cencora | 58.97 Bn | 48.06 Bn | 3.61 Bn | 2.82 Bn |
| 7 | Cardinal Health | 53.10 Bn | 37.10 Bn | 2.56 Bn | 4.86 Bn |
| 8 | Humana | 46.62 Bn | -41.18 Bn | 5.50 Bn | 6.89 Bn |
| 9 | Centene | 31.12 Bn | -59.17 Bn | 14.55 Bn | 24.15 Bn |
| 10 | DataMeds AI | 8.79 Mn | 4.04 Mn | 170,221.00 | 51,730.00 |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 51,730.00 |
| Dec 31, 2025 | 42,571.00 |
| Sep 30, 2025 | 4.23 Mn |
| Jun 30, 2025 | 419,942.00 |
| Mar 31, 2025 | 2.52 Mn |
| Dec 31, 2024 | 1.03 Mn |
| Dec 31, 2023 | 1,364.00 |
DataMeds AI Cash & Equivalents 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=cash-and-equivalents&ticker=MEDS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=MEDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();