Stoneridge (SRI) Non Operating Interest Expenses (2010 - 2018)
Stoneridge's Non Operating Interest Expenses was $1.16 million in Q3 2018, down 23.4% from $1.51 million a year earlier and down 1.3% from the prior quarter.
Stoneridge (SRI) Non Operating Interest Expenses (2010 - 2018) Analysis & Trends
On a trailing twelve-month basis, Stoneridge's Non Operating Interest Expenses was $5.03 million through Sep 30, 2018, down 11.4% year-over-year; for FY2017, it came in at $5.78 million, down 7.9% from FY2016.
- Non Operating Interest Expenses has now declined for five consecutive years, with a five-year compound annual growth rate of -21.9% (FY2012 to FY2017).
- In earlier years, Non Operating Interest Expenses was $6.28 million in FY2016 (-1.4%), $6.37 million in FY2015 (-62.3%), $16.88 million in FY2014 (-6.7%) and $18.1 million in FY2013 (-8.9%).
- The Q3 2018 figure marks the lowest quarterly Non Operating Interest Expenses in data going back to Q2 2010.
- Compared with a year earlier, Non Operating Interest Expenses has declined for three straight quarters, with an average decline of 12.8% over the last eight quarters.
- The best year-over-year quarter for Non Operating Interest Expenses over five years was Q1 2016 (growth of 18.5%); the worst was Q1 2015 (a decline of 74.1%).
- Per Business Quant data, SRI's Non Operating Interest Expenses in the three quarters before Q3 2018 was $1.17 million (Q2 2018), $1.35 million (Q1 2018) and $1.35 million (Q4 2017).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 135.00 Mn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 213.70 Mn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 710.00 Mn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 201.00 Mn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 95.00 Mn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 17.40 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | - |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | - |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 79.00 Mn |
| 10 | Stoneridge | 188.83 Mn | -60.27 Mn | 36.83 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2018 | 1.16 Mn |
| Jun 30, 2018 | 1.17 Mn |
| Mar 31, 2018 | 1.35 Mn |
| Dec 31, 2017 | 1.35 Mn |
| Sep 30, 2017 | 1.51 Mn |
| Jun 30, 2017 | 1.52 Mn |
| Mar 31, 2017 | 1.41 Mn |
| Dec 31, 2016 | 1.24 Mn |
| Sep 30, 2016 | 1.68 Mn |
| Jun 30, 2016 | 1.84 Mn |
| Mar 31, 2016 | 1.51 Mn |
| Dec 31, 2015 | 1.68 Mn |
| Sep 30, 2015 | 1.75 Mn |
| Jun 30, 2015 | 1.66 Mn |
| Mar 31, 2015 | 1.28 Mn |
| Dec 31, 2014 | 1.82 Mn |
| Sep 30, 2014 | 5.06 Mn |
| Jun 30, 2014 | 5.07 Mn |
| Mar 31, 2014 | 4.93 Mn |
| Dec 31, 2013 | 4.65 Mn |
Stoneridge 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=SRI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "SRI", "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=SRI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();