Microchip Technology (MCHP) Convertible Debt (2009 - 2016)
Microchip Technology (MCHP) recorded Convertible Debt of $1.25 billion in fiscal Q3 2017 (quarter ended Dec 31, 2016), up 3.9% from $1.2 billion a year earlier and up 0.9% from the prior quarter.
Microchip Technology (MCHP) Convertible Debt (2009 - 2016) Analysis & Trends
At the end of FY2016 (ended Mar 31, 2016), Microchip Technology reported Convertible Debt of $1.22 billion, up 3.6% from FY2015.
- Annual Convertible Debt has increased for seven straight fiscal years, with a five-year compound annual growth rate of 28.5% (FY2011 to FY2016).
- Across earlier fiscal years, Convertible Debt came in at $1.17 billion in FY2015 (+215.7%), $371.87 million in FY2014 (+2.3%), $363.39 million in FY2013 (+2.3%) and $355.05 million in FY2012 (+2.2%).
- The fiscal Q3 2017 figure is the highest quarterly Convertible Debt in data going back to fiscal Q4 2009.
- On a year-over-year basis, Convertible Debt has increased for 28 consecutive quarters, with growth averaging 109.9% over the last eight quarters.
- The year-over-year growth in Convertible Debt has ranged between 2.2% (fiscal Q2 2014) and 217.9% (fiscal Q2 2016) over the last five years.
- Per Business Quant, the preceding three fiscal quarters came in at $1.24 billion (Q2 2017), $1.23 billion (Q1 2017) and $1.22 billion (Q4 2016).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn |
| 10 | Microchip Technology | 44.16 Bn | 43.16 Bn | 938.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2016 | 1.25 Bn |
| Sep 30, 2016 | 1.24 Bn |
| Jun 30, 2016 | 1.23 Bn |
| Mar 31, 2016 | 1.22 Bn |
| Dec 31, 2015 | 1.20 Bn |
| Sep 30, 2015 | 1.20 Bn |
| Jun 30, 2015 | 1.17 Bn |
| Mar 31, 2015 | 1.17 Bn |
| Dec 31, 2014 | 379.26 Mn |
| Sep 30, 2014 | 376.73 Mn |
| Jun 30, 2014 | 374.23 Mn |
| Mar 31, 2014 | 371.87 Mn |
| Dec 31, 2013 | 369.62 Mn |
| Sep 30, 2013 | 367.53 Mn |
| Jun 30, 2013 | 365.56 Mn |
| Mar 31, 2013 | 363.39 Mn |
| Dec 31, 2012 | 361.41 Mn |
| Sep 30, 2012 | 359.66 Mn |
| Jun 30, 2012 | 357.36 Mn |
| Mar 31, 2012 | 355.05 Mn |
Microchip Technology Convertible Debt 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=convertible-debt&ticker=MCHP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "convertible-debt", "ticker": "MCHP", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=convertible-debt&ticker=MCHP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();