DataMeds AI (MEDS) Accumulated Expenses (2023 - 2026)
DataMeds AI's Accumulated Expenses came in at $4.46 million for Q1 2026, down 7.1% from $4.79 million a year earlier and down 30.5% from the prior quarter.
Powered by 
Analysis
DataMeds AI (MEDS) Accumulated Expenses (2023 - 2026) Analysis & Trends
At the end of FY2025, DataMeds AI's Accumulated Expenses was $6.41 million, up 48.3% from FY2024.
- Going back by year, Accumulated Expenses was $4.32 million in FY2024 (+142.4%) and $1.78 million in FY2023.
- The Q1 2026 figure represents the lowest quarterly Accumulated Expenses since Q4 2024.
- Business Quant data shows MEDS's Accumulated Expenses at $6.41 million (Q4 2025), $5.47 million (Q3 2025) and $5.47 million (Q2 2025) in the three quarters before Q1 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unitedhealth | 330.47 Bn | 215.10 Bn | 36.67 Bn |
| 2 | Cvs Health | 108.89 Bn | 61.49 Bn | 47.23 Bn |
| 3 | Mckesson | 104.86 Bn | 91.32 Bn | 3.69 Bn |
| 4 | Elevance Health | 82.79 Bn | -58.96 Bn | 13.45 Bn |
| 5 | Cigna | 70.83 Bn | 40.37 Bn | 14.97 Bn |
| 6 | Cencora | 59.11 Bn | 48.20 Bn | 3.61 Bn |
| 7 | Cardinal Health | 53.53 Bn | 37.53 Bn | 2.56 Bn |
| 8 | Humana | 45.57 Bn | -42.23 Bn | 5.50 Bn |
| 9 | Centene | 30.12 Bn | -60.16 Bn | 14.55 Bn |
| 10 | DataMeds AI | 9.70 Mn | 4.95 Mn | 170,221.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 4.46 Mn |
| Dec 31, 2025 | 6.41 Mn |
| Sep 30, 2025 | 5.47 Mn |
| Jun 30, 2025 | 5.47 Mn |
| Mar 31, 2025 | 4.79 Mn |
| Dec 31, 2024 | 4.32 Mn |
| Dec 31, 2023 | 1.78 Mn |
API Access
DataMeds AI Accumulated Expenses 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=accumulated-expenses&ticker=MEDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=MEDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();