Onto Innovation (ONTO) Non Operating Interest Expenses (2010 - 2019)
Onto Innovation (ONTO) posted Non Operating Interest Expenses of $38,000 for Q3 2019, down 63.5% from $104,000 a year earlier but up 153.3% from the prior quarter.
Onto Innovation (ONTO) Non Operating Interest Expenses (2010 - 2019) Analysis & Trends
For the trailing twelve months through Sep 28, 2019, Non Operating Interest Expenses at Onto Innovation was $230,000, down 9.1% year-over-year; for FY2018, it came in at $331,000, up 259.8% from FY2017.
- Annual Non Operating Interest Expenses shows a five-year compound annual growth rate of -12.7% (FY2013 to FY2018).
- In prior years, Onto Innovation's Non Operating Interest Expenses was $92,000 in FY2017 (-67.7%), $285,000 in FY2016 (-1.4%), $289,000 in FY2015 (-25.7%) and $389,000 in FY2014 (-40.2%).
- Quarterly Non Operating Interest Expenses has run from a low of $8,000 in Q4 2017 to a high of $117,000 in Q1 2016 over five years.
- On a year-over-year basis, Non Operating Interest Expenses has declined in each of the last three quarters, with growth averaging 178.8% over the last eight quarters.
- The strongest year-over-year quarter for Non Operating Interest Expenses in the past five years was Q4 2018, with growth of 975.0%; the weakest was Q4 2016, with a decline of 75.7%.
- According to Business Quant data, Non Operating Interest Expenses for the three prior quarters was $15,000 (Q2 2019), $91,000 (Q1 2019) and $86,000 (Q4 2018).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,765.68 Bn | 5,539.85 Bn | 72.14 Bn | - |
| 2 | Taiwan Semiconductor Manufacturing | 2,501.30 Bn | 2,127.00 Bn | 27.22 Bn | -97.61 Mn |
| 3 | Broadcom | 1,794.12 Bn | 1,720.16 Bn | 20.46 Bn | 778.00 Mn |
| 4 | Micron Technology | 1,180.44 Bn | 1,119.20 Bn | 35.06 Bn | - |
| 5 | Advanced Micro Devices | 1,059.85 Bn | 1,016.60 Bn | 6.20 Bn | 37.00 Mn |
| 6 | Asml Holding | 706.89 Bn | 662.73 Bn | 5.90 Bn | - |
| 7 | Intel | 567.34 Bn | 452.07 Bn | 6.51 Bn | - |
| 8 | Applied Materials | 420.82 Bn | 386.26 Bn | 4.59 Bn | 68.00 Mn |
| 9 | Lam Research | 417.84 Bn | 394.64 Bn | 3.48 Bn | - |
| 10 | Onto Innovation | 15.39 Bn | 11.23 Bn | 183.25 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 28, 2019 | 38,000.00 |
| Jun 29, 2019 | 15,000.00 |
| Mar 30, 2019 | 91,000.00 |
| Dec 29, 2018 | 86,000.00 |
| Sep 29, 2018 | 104,000.00 |
| Jun 30, 2018 | 48,000.00 |
| Mar 31, 2018 | 93,000.00 |
| Dec 30, 2017 | 8,000.00 |
| Sep 30, 2017 | 25,000.00 |
| Jul 1, 2017 | 19,000.00 |
| Apr 1, 2017 | 40,000.00 |
| Dec 31, 2016 | 9,000.00 |
| Sep 24, 2016 | 92,000.00 |
| Jun 25, 2016 | 67,000.00 |
| Mar 26, 2016 | 117,000.00 |
| Dec 26, 2015 | 37,000.00 |
| Sep 26, 2015 | 86,000.00 |
| Jun 27, 2015 | 83,000.00 |
| Mar 28, 2015 | 82,000.00 |
| Dec 27, 2014 | 103,000.00 |
Onto Innovation Non Operating Interest Expenses 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=non-operating-interest-expenses&ticker=ONTO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "ONTO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=non-operating-interest-expenses&ticker=ONTO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();