Stryker (SYK) Short-Term Debt repayments (2009 - 2018)
Stryker's Short-Term Debt repayments was $258 million in Q1 2018, down 27.1% from $354 million a year earlier.
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Analysis
Stryker (SYK) Short-Term Debt repayments (2009 - 2018) Analysis & Trends
On a trailing twelve-month basis, Stryker's Short-Term Debt repayments was $837 million through Mar 31, 2018, down 56.8% year-over-year; for FY2017, it was $933 million, down 42.9% from FY2016.
- Short-Term Debt repayments shows a five-year compound annual growth rate of 38.7% (FY2012 to FY2017).
- In earlier years, Short-Term Debt repayments was $1.64 billion in FY2016 (-28.0%), $2.27 billion in FY2015 (+59.1%), $1.43 billion in FY2014 (+302.3%) and $355 million in FY2013 (+95.1%).
- Quarterly Short-Term Debt repayments has moved between $6 million (Q4 2017) and $1.17 billion (Q3 2016) over five years.
- Compared with a year earlier, Short-Term Debt repayments has declined for three straight quarters, with growth averaging 83.3% over the last eight quarters.
- The best year-over-year quarter for Short-Term Debt repayments over five years was Q1 2017 (growth of 567.9%); the worst was Q4 2017 (a decline of 97.1%).
- Per Business Quant data, SYK's Short-Term Debt repayments in the three quarters before Q1 2018 was $6 million (Q4 2017), $143 million (Q3 2017) and $430 million (Q2 2017).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ST Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | - |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | - |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | - |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | - |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 13.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | - |
| 10 | Agilent Technologies | 48.58 Bn | 41.47 Bn | 1.04 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2018 | 258.00 Mn |
| Dec 31, 2017 | 6.00 Mn |
| Sep 30, 2017 | 143.00 Mn |
| Jun 30, 2017 | 430.00 Mn |
| Mar 31, 2017 | 354.00 Mn |
| Dec 31, 2016 | 205.00 Mn |
| Sep 30, 2016 | 1.17 Bn |
| Jun 30, 2016 | 204.00 Mn |
| Mar 31, 2016 | 53.00 Mn |
| Dec 31, 2015 | 473.00 Mn |
| Sep 30, 2015 | 287.00 Mn |
| Jun 30, 2015 | 431.00 Mn |
| Mar 31, 2015 | 1.08 Bn |
| Dec 31, 2014 | 415.00 Mn |
| Sep 30, 2014 | 293.00 Mn |
| Jun 30, 2014 | 665.00 Mn |
| Mar 31, 2014 | 55.00 Mn |
| Dec 31, 2013 | 97.00 Mn |
| Sep 30, 2013 | 107.00 Mn |
| Jun 30, 2013 | 100.00 Mn |
API Access
Stryker Short-Term Debt repayments 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=short-term-debt-repayments&ticker=SYK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt-repayments", "ticker": "SYK", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=short-term-debt-repayments&ticker=SYK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();