DataMeds AI (MEDS) Operating Expenses (2024 - 2026)
DataMeds AI (MEDS) recorded Operating Expenses of $6.19 million in Q1 2026, down 80.7% from $32.04 million a year earlier and down 64.6% from the prior quarter.
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Analysis
DataMeds AI (MEDS) Operating Expenses (2024 - 2026) Analysis & Trends
On a TTM basis, DataMeds AI's Operating Expenses came in at $61.47 million as of Mar 31, 2026, up 54.2% year-over-year; for FY2025, it came in at $87.32 million.
- Across earlier years, Operating Expenses came in at $7.91 million in FY2024 (+174.7%) and $2.88 million in FY2023.
- Quarterly Operating Expenses has ranged from $79,764 in Q1 2024 to $32.04 million in Q1 2025 over the past five years.
- Per Business Quant, the preceding three quarters came in at $17.5 million (Q4 2025), $31.78 million (Q3 2025) and $6.01 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Unitedhealth | 371.60 Bn | 256.24 Bn | 36.67 Bn | 104.04 Bn |
| 2 | Cvs Health | 116.44 Bn | 69.05 Bn | 47.23 Bn | 101.39 Bn |
| 3 | Mckesson | 112.75 Bn | 99.21 Bn | 3.69 Bn | 2.37 Bn |
| 4 | Elevance Health | 91.06 Bn | -51.41 Bn | 13.65 Bn | 49.64 Bn |
| 5 | Cigna | 78.82 Bn | 48.36 Bn | 14.97 Bn | 68.99 Bn |
| 6 | Cencora | 62.09 Bn | 51.18 Bn | 3.61 Bn | 2.28 Bn |
| 7 | Cardinal Health | 57.33 Bn | 41.33 Bn | 2.56 Bn | 1.67 Bn |
| 8 | Humana | 49.84 Bn | -37.96 Bn | 5.50 Bn | 39.51 Bn |
| 9 | Centene | 33.95 Bn | 33.95 Bn | - | 50.95 Bn |
| 10 | DataMeds AI | 5.84 Mn | 5.84 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 6.19 Mn |
| Dec 31, 2025 | 17.50 Mn |
| Sep 30, 2025 | 31.78 Mn |
| Jun 30, 2025 | 6.01 Mn |
| Mar 31, 2025 | 32.04 Mn |
| Dec 31, 2024 | 5.00 Mn |
| Sep 30, 2024 | 2.27 Mn |
| Jun 30, 2024 | 570,408.00 |
| Mar 31, 2024 | 79,764.00 |
API Access
DataMeds AI Operating 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=operating-expenses&ticker=MEDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=MEDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();