Thermo Fisher Scientific (TMO) Change in Other Operating Liabilities (2009 - 2019)
Thermo Fisher Scientific (TMO) recorded Change in Other Operating Liabilities of $38 million in Q4 2019, down 75.8% from $157 million a year earlier.
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Analysis
Thermo Fisher Scientific (TMO) Change in Other Operating Liabilities (2009 - 2019) Analysis & Trends
For FY2019, Thermo Fisher Scientific reported Change in Other Operating Liabilities of $210 million.
- Annual Change in Other Operating Liabilities has a five-year compound annual growth rate of -7.4% (FY2014 to FY2019).
- Across earlier years, Change in Other Operating Liabilities came in at -$42 million in FY2018, $1.02 billion in FY2017 (+370.4%), $216 million in FY2016 (+8.0%) and $200 million in FY2015 (-35.1%).
- Quarterly Change in Other Operating Liabilities has ranged from -$471 million in Q1 2018 to $992 million in Q4 2017 over the past five years.
- On a year-over-year basis, Change in Other Operating Liabilities rose in 1 of the last five quarters, with growth averaging 39.1%.
- Peak year-over-year performance for Change in Other Operating Liabilities in the last five years was growth of 390.2% in Q2 2019, against a decline of 84.2% in Q4 2018 at the low end.
- Per Business Quant, the preceding three quarters came in at -$147 million (Q3 2019), $549 million (Q2 2019) and -$230 million (Q1 2019).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Liabilities Change (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 258.79 Bn | 258.79 Bn | - | - |
| 2 | Abbott Laboratories | 192.03 Bn | 192.03 Bn | - | - |
| 3 | Danaher | 163.75 Bn | 147.55 Bn | 3.61 Bn | - |
| 4 | Intuitive Surgical | 154.00 Bn | 134.29 Bn | 2.08 Bn | 602.40 Mn |
| 5 | Medtronic | 127.84 Bn | 93.09 Bn | 6.34 Bn | - |
| 6 | Stryker | 119.75 Bn | 119.75 Bn | - | - |
| 7 | Boston Scientific | 65.52 Bn | 65.52 Bn | 3.43 Bn | - |
| 8 | Edwards Lifesciences | 55.34 Bn | 39.35 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 54.62 Bn | 51.76 Bn | 2.32 Bn | 46.00 Mn |
| 10 | Agilent Technologies | 50.07 Bn | 42.96 Bn | 1.04 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | 38.00 Mn |
| Sep 28, 2019 | -147.00 Mn |
| Jun 29, 2019 | 549.00 Mn |
| Mar 30, 2019 | -230.00 Mn |
| Dec 31, 2018 | 157.00 Mn |
| Sep 29, 2018 | 160.00 Mn |
| Jun 30, 2018 | 112.00 Mn |
| Mar 31, 2018 | -471.00 Mn |
| Dec 31, 2017 | 992.00 Mn |
| Sep 30, 2017 | 185.00 Mn |
| Jul 1, 2017 | 142.00 Mn |
| Apr 1, 2017 | -303.00 Mn |
| Dec 31, 2016 | 362.60 Mn |
| Oct 1, 2016 | -2.50 Mn |
| Jul 2, 2016 | 190.90 Mn |
| Apr 2, 2016 | -335.00 Mn |
| Dec 31, 2015 | 436.30 Mn |
| Sep 26, 2015 | 118.50 Mn |
| Jun 27, 2015 | 40.60 Mn |
| Mar 28, 2015 | -395.40 Mn |
API Access
Thermo Fisher Scientific Change in Other Operating Liabilities 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=change-in-other-operating-liabilities&ticker=TMO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-other-operating-liabilities", "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=change-in-other-operating-liabilities&ticker=TMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();