DataMeds AI (MEDS) Amortization of Intangibles (2024 - 2026)
DataMeds AI (MEDS) posted Amortizatization of Intangibles of $328,962 for Q1 2026, down 56.9% from $763,064 a year earlier and down 56.9% from the prior quarter.
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Analysis
DataMeds AI (MEDS) Amortization of Intangibles (2024 - 2026) Analysis & Trends
For the trailing twelve months through Mar 31, 2026, Amortizatization of Intangibles at DataMeds AI was $2.62 million; for FY2025, it came in at $3.05 million, up 191.5% from FY2024.
- In prior years, DataMeds AI's Amortizatization of Intangibles was $1.05 million in FY2024.
- According to Business Quant data, Amortizatization of Intangibles for the three prior quarters was $763,066 (Q4 2025), $763,065 (Q3 2025) and $763,065 (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Unitedhealth | 353.57 Bn | 234.20 Bn | 35.71 Bn | - |
| 2 | Mckesson | 123.38 Bn | 104.76 Bn | 3.96 Bn | 127.00 Mn |
| 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 | 123.02 Mn |
| 7 | Cardinal Health | 62.87 Bn | 46.04 Bn | 2.60 Bn | - |
| 8 | Humana | 51.94 Bn | -35.92 Bn | 5.50 Bn | 8.00 Mn |
| 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 |
|---|---|
| Mar 31, 2026 | 328,962.00 |
| Dec 31, 2025 | 763,066.00 |
| Sep 30, 2025 | 763,065.00 |
| Jun 30, 2025 | 763,065.00 |
| Mar 31, 2025 | 763,064.00 |
| Dec 31, 2024 | 606,799.00 |
| Sep 30, 2024 | 427,455.00 |
API Access
DataMeds AI Amortization of Intangibles 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=amortizatization-of-intangibles&ticker=MEDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "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=amortizatization-of-intangibles&ticker=MEDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();