DataMeds AI (MEDS) Depreciation & Amortization (CF) (2024 - 2026)
DataMeds AI (MEDS) reported Depreciation & Amortization (CF) of $27,862 for Q1 2026, down 30.0% from $39,807 a year earlier and down 29.5% from the prior quarter.
DataMeds AI (MEDS) Depreciation & Amortization (CF) (2024 - 2026) Analysis & Trends
Over the twelve months ended Mar 31, 2026, DataMeds AI's Depreciation & Amortization (CF) came in at $146,859, up 36.7% year-over-year; for FY2025, it came in at $158,804, up 134.9% from FY2024.
- By year, Depreciation & Amortization (CF) came in at $67,616 in FY2024.
- The Q1 2026 figure ranks as the lowest quarterly Depreciation & Amortization (CF) since Q3 2024.
- Per Business Quant data, the three quarters before Q1 2026 came in at $39,535 (Q4 2025), $39,731 (Q3 2025) and $39,731 (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Unitedhealth | 330.47 Bn | 215.10 Bn | 36.67 Bn | 1.04 Bn |
| 2 | Cvs Health | 108.89 Bn | 61.49 Bn | 47.23 Bn | 1.13 Bn |
| 3 | Mckesson | 104.86 Bn | 91.32 Bn | 3.69 Bn | 69.00 Mn |
| 4 | Elevance Health | 82.79 Bn | -58.96 Bn | 13.45 Bn | 366.00 Mn |
| 5 | Cigna | 70.83 Bn | 40.37 Bn | 14.97 Bn | 655.00 Mn |
| 6 | Cencora | 59.11 Bn | 48.20 Bn | 3.61 Bn | 154.41 Mn |
| 7 | Cardinal Health | 53.53 Bn | 37.53 Bn | 2.56 Bn | 241.00 Mn |
| 8 | Humana | 45.57 Bn | -42.23 Bn | 5.50 Bn | 180.00 Mn |
| 9 | Centene | 30.12 Bn | -60.16 Bn | 14.55 Bn | 300.00 Mn |
| 10 | DataMeds AI | 9.70 Mn | 4.95 Mn | 170,221.00 | 27,862.00 |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 27,862.00 |
| Dec 31, 2025 | 39,535.00 |
| Sep 30, 2025 | 39,731.00 |
| Jun 30, 2025 | 39,731.00 |
| Mar 31, 2025 | 39,807.00 |
| Dec 31, 2024 | 40,442.00 |
| Sep 30, 2024 | 27,174.00 |
DataMeds AI Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=MEDS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=MEDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();