Solventum (SOLV) EV to CFO (2024 - 2026)
Solventum's (SOLV) EV to CFO stood at 60.87 in Q2 2026, up 181.8% from 21.60 a year earlier but down 14.7% from the prior quarter.
Solventum (SOLV) EV to CFO (2024 - 2026) Analysis & Trends
On a TTM basis, Solventum's EV to CFO came in at 46.13 as of Jun 30, 2026, up 155.2% year-over-year; for FY2025, it was 34.88, up 288.0% from FY2024.
- Across earlier years, EV to CFO came in at 8.99 in FY2024.
- Quarterly EV to CFO has ranged from 4.48 in Q2 2024 to 71.33 in Q1 2026 over the past five years.
- On a year-over-year basis, EV to CFO has increased for six consecutive quarters, with growth averaging 260.4% over the last six quarters.
- Per Business Quant, the preceding three quarters came in at 71.33 (Q1 2026), 34.88 (Q4 2025) and 22.35 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn |
| 10 | Solventum | 15.23 Bn | 11.75 Bn | 1.29 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 60.87 |
| Mar 31, 2026 | 71.33 |
| Dec 31, 2025 | 34.88 |
| Sep 30, 2025 | 22.35 |
| Jun 30, 2025 | 21.60 |
| Mar 31, 2025 | 16.35 |
| Dec 31, 2024 | 8.99 |
| Sep 30, 2024 | 7.45 |
| Jun 30, 2024 | 4.48 |
| Mar 31, 2024 | 5.96 |
Solventum EV to CFO 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=ev-to-cfo&ticker=SOLV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-cfo", "ticker": "SOLV", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=ev-to-cfo&ticker=SOLV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();