Thermo Fisher Scientific (TMO) Receivables - Net (2009 - 2026)
Thermo Fisher Scientific's Receivables - Net was $9.45 billion in Q2 2026, up 10.0% from $8.59 billion a year earlier and up 2.7% from the prior quarter.
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Analysis
Thermo Fisher Scientific (TMO) Receivables - Net (2009 - 2026) Analysis & Trends
At the end of FY2025, Receivables - Net at Thermo Fisher Scientific came in at $8.9 billion, up 8.7% from FY2024.
- Receivables - Net shows a five-year compound annual growth rate of 9.2% (FY2020 to FY2025).
- In earlier years, Receivables - Net was $8.19 billion in FY2024 (-0.4%), $8.22 billion in FY2023 (+1.3%), $8.12 billion in FY2022 (+1.7%) and $7.98 billion in FY2021 (+38.9%).
- The Q2 2026 figure marks the highest quarterly Receivables - Net in data going back to Q2 2009.
- Compared with a year earlier, Receivables - Net has increased for six straight quarters, with growth averaging 6.1% over the last eight quarters.
- The best year-over-year quarter for Receivables - Net over five years was Q1 2022 (growth of 42.0%); the worst was Q3 2024 (a decline of 1.4%).
- Per Business Quant data, TMO's Receivables - Net in the three quarters before Q2 2026 was $9.2 billion (Q1 2026), $8.9 billion (Q4 2025) and $8.91 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 243.20 Bn | 222.35 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 172.35 Bn | 143.43 Bn | 7.27 Bn |
| 3 | Danaher | 154.53 Bn | 138.35 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 150.04 Bn | 129.59 Bn | 1.96 Bn |
| 5 | Medtronic | 113.25 Bn | 79.11 Bn | 6.34 Bn |
| 6 | Stryker | 106.37 Bn | 92.49 Bn | 4.50 Bn |
| 7 | Boston Scientific | 61.94 Bn | 56.95 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 50.05 Bn | 47.20 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn |
| 10 | Agilent Technologies | 48.07 Bn | 40.96 Bn | 1.04 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 9.45 Bn |
| Mar 28, 2026 | 9.20 Bn |
| Dec 31, 2025 | 8.90 Bn |
| Sep 27, 2025 | 8.91 Bn |
| Jun 28, 2025 | 8.59 Bn |
| Mar 29, 2025 | 8.46 Bn |
| Dec 31, 2024 | 8.19 Bn |
| Sep 28, 2024 | 8.26 Bn |
| Jun 29, 2024 | 7.94 Bn |
| Mar 30, 2024 | 7.93 Bn |
| Dec 31, 2023 | 8.22 Bn |
| Sep 30, 2023 | 8.37 Bn |
| Jul 1, 2023 | 8.02 Bn |
| Apr 1, 2023 | 7.92 Bn |
| Dec 31, 2022 | 8.12 Bn |
| Oct 1, 2022 | 7.67 Bn |
| Jul 2, 2022 | 7.75 Bn |
| Apr 2, 2022 | 7.89 Bn |
| Dec 31, 2021 | 7.98 Bn |
| Oct 2, 2021 | 5.56 Bn |
API Access
Thermo Fisher Scientific Receivables - Net 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-net&ticker=TMO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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-net&ticker=TMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();