DataMeds AI (MEDS) Receivables - Net (2024 - 2026)
DataMeds AI (MEDS) reported Receivables - Net of $1.17 million for Q2 2026, down 45.7% from $2.16 million a year earlier but up 18.4% from the prior quarter.
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Analysis
DataMeds AI (MEDS) Receivables - Net (2024 - 2026) Analysis & Trends
At the end of FY2025, DataMeds AI posted Receivables - Net of $1.14 million, down 58.3% from FY2024.
- By year, Receivables - Net came in at $2.72 million in FY2024.
- Five-year quarterly Receivables - Net spans a low of $992,147 in Q1 2026 and a high of $2.83 million in Q1 2025.
- Year over year, Receivables - Net has now declined in each of the last three quarters.
- Per Business Quant data, the three quarters before Q2 2026 came in at $992,147 (Q1 2026), $1.14 million (Q4 2025) and $1.1 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unitedhealth | 368.56 Bn | 253.20 Bn | 36.67 Bn |
| 2 | Cvs Health | 114.92 Bn | 67.52 Bn | 47.23 Bn |
| 3 | Mckesson | 112.02 Bn | 98.48 Bn | 3.69 Bn |
| 4 | Elevance Health | 89.55 Bn | -52.92 Bn | 13.65 Bn |
| 5 | Cigna | 77.96 Bn | 47.51 Bn | 14.97 Bn |
| 6 | Cencora | 61.91 Bn | 51.00 Bn | 3.61 Bn |
| 7 | Cardinal Health | 56.96 Bn | 40.95 Bn | 2.56 Bn |
| 8 | Humana | 49.47 Bn | -38.33 Bn | 5.50 Bn |
| 9 | Centene | 33.18 Bn | -61.45 Bn | 9.52 Bn |
| 10 | DataMeds AI | 6.24 Mn | 6.24 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.17 Mn |
| Mar 31, 2026 | 992,147.00 |
| Dec 31, 2025 | 1.14 Mn |
| Sep 30, 2025 | 1.10 Mn |
| Jun 30, 2025 | 2.16 Mn |
| Mar 31, 2025 | 2.83 Mn |
| Dec 31, 2024 | 2.72 Mn |
API Access
DataMeds AI Receivables - Net 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=receivables-net&ticker=MEDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=MEDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();