Thermo Fisher Scientific (TMO) Net Short-Term Debt Issued (Repaid) (2009 - 2026)
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Analysis
Thermo Fisher Scientific (TMO) Net Short-Term Debt Issued (Repaid) (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net ST Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 267.71 Bn | 244.23 Bn | 5.13 Bn | - |
| 2 | Abbott Laboratories | 191.69 Bn | 165.56 Bn | 7.39 Bn | -69.00 Mn |
| 3 | Danaher | 166.18 Bn | 145.83 Bn | 3.84 Bn | -7.00 Mn |
| 4 | Intuitive Surgical | 161.07 Bn | 141.36 Bn | 2.08 Bn | - |
| 5 | Medtronic | 131.65 Bn | 96.90 Bn | 6.34 Bn | 812.00 Mn |
| 6 | Stryker | 125.25 Bn | 111.44 Bn | 4.25 Bn | -3.00 Mn |
| 7 | Boston Scientific | 63.85 Bn | 59.29 Bn | 3.43 Bn | -672.00 Mn |
| 8 | Edwards Lifesciences | 60.52 Bn | 43.72 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 59.08 Bn | 56.23 Bn | 2.32 Bn | -291.00 Mn |
| 10 | Agilent Technologies | 50.79 Bn | 43.67 Bn | 1.04 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 28, 2026 | 389.00 Mn |
| Dec 31, 2025 | -498.00 Mn |
| Sep 27, 2025 | 498.00 Mn |
| Sep 30, 2023 | -494.00 Mn |
| Jul 1, 2023 | -325.00 Mn |
| Apr 1, 2023 | 504.00 Mn |
| Dec 31, 2022 | 295.00 Mn |
| Oct 1, 2022 | -1.00 Mn |
| Jul 2, 2022 | -1.83 Bn |
| Apr 2, 2022 | -633.00 Mn |
| Dec 31, 2021 | 2.51 Bn |
| Jun 27, 2020 | -65.00 Mn |
| Mar 28, 2020 | 61.00 Mn |
| Dec 31, 2019 | -686.00 Mn |
| Sep 28, 2019 | -37.00 Mn |
| Jun 29, 2019 | 727.00 Mn |
| Mar 30, 2019 | -687.00 Mn |
| Dec 31, 2018 | 270.00 Mn |
| Sep 29, 2018 | -570.00 Mn |
| Jun 30, 2018 | -76.00 Mn |
API Access
Thermo Fisher Scientific Net Short-Term Debt Issued (Repaid) 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=current-debt&ticker=TMO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-debt", "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=current-debt&ticker=TMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();