Solventum (SOLV) Accumulated Expenses (2024 - 2026)
Solventum (SOLV) reported Accumulated Expenses of $331 million for Q2 2026, down 6.8% from $355 million a year earlier and down 1.8% from the prior quarter.
Solventum (SOLV) Accumulated Expenses (2024 - 2026) Analysis & Trends
At the end of FY2025, Solventum posted Accumulated Expenses of $435 million, up 59.9% from FY2024.
- By year, Accumulated Expenses came in at $272 million in FY2024.
- The Q2 2026 figure ranks as the lowest quarterly Accumulated Expenses since Q4 2024.
- Year over year, Accumulated Expenses gained in two of the last five quarters, with growth averaging 1.8%.
- Per Business Quant data, the three quarters before Q2 2026 came in at $337 million (Q1 2026), $435 million (Q4 2025) and $464 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn |
| 10 | Solventum | 14.99 Bn | 11.51 Bn | 1.29 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 331.00 Mn |
| Mar 31, 2026 | 337.00 Mn |
| Dec 31, 2025 | 435.00 Mn |
| Sep 30, 2025 | 464.00 Mn |
| Jun 30, 2025 | 355.00 Mn |
| Mar 31, 2025 | 356.00 Mn |
| Dec 31, 2024 | 272.00 Mn |
| Sep 30, 2024 | 450.00 Mn |
| Jun 30, 2024 | 611.00 Mn |
Solventum 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=accumulated-expenses&ticker=SOLV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=SOLV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();