DataMeds AI (MEDS) Other Accumulated Expenses (2023 - 2025)
DataMeds AI (MEDS) recorded Other Accumulated Expenses of $1.17 million in Q1 2026, up 32.7% from $877,807 a year earlier and up 39.8% from the prior quarter.
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Analysis
DataMeds AI (MEDS) Other Accumulated Expenses (2023 - 2025) Analysis & Trends
At the end of FY2025, DataMeds AI reported Other Accumulated Expenses of $833,647, up 65.4% from FY2024.
- Across earlier years, Other Accumulated Expenses came in at $504,152 in FY2024 (+271.8%) and $135,586 in FY2023.
- Quarterly Other Accumulated Expenses has ranged from $135,586 in Q4 2023 to $1.2 million in Q2 2025 over the past five years.
- Per Business Quant, the preceding three quarters came in at $833,647 (Q4 2025), $422,041 (Q3 2025) and $1.2 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unitedhealth | 353.57 Bn | 234.20 Bn | 35.71 Bn |
| 2 | Mckesson | 123.38 Bn | 104.76 Bn | 3.96 Bn |
| 3 | Cvs Health | 107.38 Bn | 56.14 Bn | 47.21 Bn |
| 4 | Elevance Health | 92.31 Bn | -50.27 Bn | 13.65 Bn |
| 5 | Cigna | 77.17 Bn | 46.04 Bn | 15.09 Bn |
| 6 | Cencora | 64.41 Bn | 53.31 Bn | 3.61 Bn |
| 7 | Cardinal Health | 62.87 Bn | 46.04 Bn | 2.60 Bn |
| 8 | Humana | 51.94 Bn | -35.92 Bn | 5.50 Bn |
| 9 | Centene | 34.44 Bn | -60.26 Bn | 9.52 Bn |
| 10 | DataMeds AI | 3.00 Mn | 3.00 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 225,000.00 |
| Sep 30, 2025 | 200,000.00 |
| Jun 30, 2025 | 227,973.00 |
| Mar 31, 2025 | 239,085.00 |
| Dec 31, 2024 | 19.89 Mn |
| Dec 31, 2023 | 135,586.00 |
API Access
DataMeds AI Other 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=other-accumulated-expenses&ticker=MEDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=MEDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();