Thermo Fisher Scientific (TMO) Inventory (2009 - 2026)
Thermo Fisher Scientific's Inventory was $5.63 billion in Q2 2026, up 1.2% from $5.56 billion a year earlier and up 2.4% from the prior quarter.
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Analysis
Thermo Fisher Scientific (TMO) Inventory (2009 - 2026) Analysis & Trends
At the end of FY2025, Inventory at Thermo Fisher Scientific came in at $5.43 billion, up 9.0% from FY2024.
- Inventory shows a five-year compound annual growth rate of 6.1% (FY2020 to FY2025).
- In earlier years, Inventory was $4.98 billion in FY2024 (-2.2%), $5.09 billion in FY2023 (-9.7%), $5.63 billion in FY2022 (+11.5%) and $5.05 billion in FY2021 (+25.4%).
- Quarterly Inventory has moved between $4.91 billion (Q3 2021) and $5.75 billion (Q3 2025) over five years.
- Compared with a year earlier, Inventory has increased for six straight quarters, with growth averaging 3.5% over the last eight quarters.
- The best year-over-year quarter for Inventory over five years was Q3 2021 (growth of 28.1%); the worst was Q4 2023 (a decline of 9.7%).
- Per Business Quant data, TMO's Inventory in the three quarters before Q2 2026 was $5.5 billion (Q1 2026), $5.43 billion (Q4 2025) and $5.75 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 243.20 Bn | 222.35 Bn | 4.88 Bn | 5.63 Bn |
| 2 | Abbott Laboratories | 172.35 Bn | 143.43 Bn | 7.27 Bn | 7.32 Bn |
| 3 | Danaher | 154.53 Bn | 138.35 Bn | 3.61 Bn | 3.26 Bn |
| 4 | Intuitive Surgical | 150.04 Bn | 129.59 Bn | 1.96 Bn | 2.03 Bn |
| 5 | Medtronic | 113.25 Bn | 79.11 Bn | 6.34 Bn | 6.22 Bn |
| 6 | Stryker | 106.37 Bn | 92.49 Bn | 4.50 Bn | 5.52 Bn |
| 7 | Boston Scientific | 61.94 Bn | 56.95 Bn | 3.85 Bn | 3.24 Bn |
| 8 | Becton Dickinson | 50.05 Bn | 47.20 Bn | 2.32 Bn | 3.32 Bn |
| 9 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 1.13 Bn |
| 10 | Agilent Technologies | 48.07 Bn | 40.96 Bn | 1.04 Bn | 1.12 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 5.63 Bn |
| Mar 28, 2026 | 5.50 Bn |
| Dec 31, 2025 | 5.43 Bn |
| Sep 27, 2025 | 5.75 Bn |
| Jun 28, 2025 | 5.56 Bn |
| Mar 29, 2025 | 5.22 Bn |
| Dec 31, 2024 | 4.98 Bn |
| Sep 28, 2024 | 5.43 Bn |
| Jun 29, 2024 | 5.20 Bn |
| Mar 30, 2024 | 5.13 Bn |
| Dec 31, 2023 | 5.09 Bn |
| Sep 30, 2023 | 5.40 Bn |
| Jul 1, 2023 | 5.66 Bn |
| Apr 1, 2023 | 5.66 Bn |
| Dec 31, 2022 | 5.63 Bn |
| Oct 1, 2022 | 5.72 Bn |
| Jul 2, 2022 | 5.67 Bn |
| Apr 2, 2022 | 5.48 Bn |
| Dec 31, 2021 | 5.05 Bn |
| Oct 2, 2021 | 4.91 Bn |
API Access
Thermo Fisher Scientific Inventory 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=inventory&ticker=TMO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=TMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();