Solventum (SOLV) Receivables (2023 - 2026)
Solventum (SOLV) posted Receivables of $1.43 billion for Q2 2026, up 14.1% from $1.26 billion a year earlier and up 21.4% from the prior quarter.
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Analysis
Solventum (SOLV) Receivables (2023 - 2026) Analysis & Trends
At the end of FY2025, Solventum's Receivables came in at $1.18 billion, down 3.7% from FY2024.
- In prior years, Solventum's Receivables was $1.23 billion in FY2024 (-6.4%) and $1.31 billion in FY2023.
- The Q2 2026 figure stands as the highest quarterly Receivables in data going back to Q4 2023.
- On a year-over-year basis, Receivables increased in two of the last seven quarters, with an average decline of 2.1%.
- According to Business Quant data, Receivables for the three prior quarters was $1.18 billion (Q1 2026), $1.18 billion (Q4 2025) and $1.18 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 11.14 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 8.60 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 3.97 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 1.67 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 6.36 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 3.74 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 3.05 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 2.36 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 955.70 Mn |
| 10 | Solventum | 15.23 Bn | 11.75 Bn | 1.29 Bn | 1.43 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.43 Bn |
| Mar 31, 2026 | 1.18 Bn |
| Dec 31, 2025 | 1.18 Bn |
| Sep 30, 2025 | 1.18 Bn |
| Jun 30, 2025 | 1.26 Bn |
| Mar 31, 2025 | 1.11 Bn |
| Dec 31, 2024 | 1.23 Bn |
| Sep 30, 2024 | 1.33 Bn |
| Jun 30, 2024 | 1.32 Bn |
| Mar 31, 2024 | 1.22 Bn |
| Dec 31, 2023 | 1.31 Bn |
API Access
Solventum Receivables 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=receivables&ticker=SOLV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=SOLV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();