Thermo Fisher Scientific (TMO) Receivables (2009 - 2026)
Thermo Fisher Scientific (TMO) posted Receivables of $11.14 billion for Q2 2026, up 11.0% from $10.04 billion a year earlier and up 2.3% from the prior quarter.
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Analysis
Thermo Fisher Scientific (TMO) Receivables (2009 - 2026) Analysis & Trends
At the end of FY2025, Thermo Fisher Scientific's Receivables came in at $10.57 billion, up 9.8% from FY2024.
- Annual Receivables shows a five-year compound annual growth rate of 10.3% (FY2020 to FY2025).
- In prior years, Thermo Fisher Scientific's Receivables was $9.63 billion in FY2024 (-0.4%), $9.66 billion in FY2023 (+2.5%), $9.43 billion in FY2022 (+5.4%) and $8.95 billion in FY2021 (+38.2%).
- The Q2 2026 figure stands as the highest quarterly Receivables in data going back to Q2 2009.
- On a year-over-year basis, Receivables has increased in each of the last six quarters, with growth averaging 6.2% over the last eight quarters.
- The strongest year-over-year quarter for Receivables in the past five years was Q2 2022, with growth of 41.6%; the weakest was Q2 2024, with a decline of 0.6%.
- According to Business Quant data, Receivables for the three prior quarters was $10.89 billion (Q1 2026), $10.57 billion (Q4 2025) and $10.53 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 243.20 Bn | 222.35 Bn | 4.88 Bn | 11.14 Bn |
| 2 | Abbott Laboratories | 172.35 Bn | 143.43 Bn | 7.27 Bn | 8.60 Bn |
| 3 | Danaher | 154.53 Bn | 138.35 Bn | 3.61 Bn | 3.97 Bn |
| 4 | Intuitive Surgical | 150.04 Bn | 129.59 Bn | 1.96 Bn | 1.67 Bn |
| 5 | Medtronic | 113.25 Bn | 79.11 Bn | 6.34 Bn | 6.36 Bn |
| 6 | Stryker | 106.37 Bn | 92.49 Bn | 4.50 Bn | 3.74 Bn |
| 7 | Boston Scientific | 61.94 Bn | 56.95 Bn | 3.85 Bn | 3.05 Bn |
| 8 | Becton Dickinson | 50.05 Bn | 47.20 Bn | 2.32 Bn | 2.36 Bn |
| 9 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 955.70 Mn |
| 10 | Agilent Technologies | 48.07 Bn | 40.96 Bn | 1.04 Bn | 1.48 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 11.14 Bn |
| Mar 28, 2026 | 10.89 Bn |
| Dec 31, 2025 | 10.57 Bn |
| Sep 27, 2025 | 10.53 Bn |
| Jun 28, 2025 | 10.04 Bn |
| Mar 29, 2025 | 9.82 Bn |
| Dec 31, 2024 | 9.63 Bn |
| Sep 28, 2024 | 9.80 Bn |
| Jun 29, 2024 | 9.43 Bn |
| Mar 30, 2024 | 9.35 Bn |
| Dec 31, 2023 | 9.66 Bn |
| Sep 30, 2023 | 9.84 Bn |
| Jul 1, 2023 | 9.49 Bn |
| Apr 1, 2023 | 9.30 Bn |
| Dec 31, 2022 | 9.43 Bn |
| Oct 1, 2022 | 8.92 Bn |
| Jul 2, 2022 | 8.89 Bn |
| Apr 2, 2022 | 8.95 Bn |
| Dec 31, 2021 | 8.95 Bn |
| Oct 2, 2021 | 6.37 Bn |
API Access
Thermo Fisher Scientific 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=TMO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "ticker": "TMO", "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=TMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();