Innospec (IOSP) Non Operating Interest Expenses (2010 - 2014)
Innospec's Non Operating Interest Expenses came in at $900,000 for Q3 2014, up 80.0% from $500,000 a year earlier and unchanged from the prior quarter.
Innospec (IOSP) Non Operating Interest Expenses (2010 - 2014) Analysis & Trends
Over the trailing twelve months to Sep 30, 2014, Innospec reported Non Operating Interest Expenses of $3.7 million, up 94.7% year-over-year; for FY2013, it was $2.3 million, up 27.8% from FY2012.
- Non Operating Interest Expenses carries a four-year compound annual growth rate of -22.3% (FY2009 to FY2013).
- Going back by year, Non Operating Interest Expenses was $1.8 million in FY2012 (-53.8%), $3.9 million in FY2011 (-23.5%), $5.1 million in FY2010 (-19.0%) and $6.3 million in FY2009.
- The five-year range for quarterly Non Operating Interest Expenses is $400,000 (Q1 2012) to $1.3 million (Q4 2010).
- Year-over-year, Non Operating Interest Expenses has increased for five consecutive quarters, with growth averaging 45.1% over the last eight quarters.
- The fastest year-over-year change in Non Operating Interest Expenses over five years came in Q1 2014 (growth of 150.0%), and the weakest in Q1 2012 (a decline of 60.0%).
- Business Quant data shows IOSP's Non Operating Interest Expenses at $900,000 (Q2 2014), $1 million (Q1 2014) and $900,000 (Q4 2013) in the three quarters before Q3 2014.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 235.27 Bn | 218.38 Bn | 4.43 Bn | 61.00 Mn |
| 2 | Corning | 106.79 Bn | 99.92 Bn | 1.63 Bn | 94.00 Mn |
| 3 | Sherwin Williams | 83.92 Bn | 82.96 Bn | 3.34 Bn | 135.90 Mn |
| 4 | Air Products & Chemicals | 68.64 Bn | 66.53 Bn | 1.04 Bn | 49.40 Mn |
| 5 | LyondellBasell Industries | 42.22 Bn | 31.84 Bn | 2.04 Bn | 138.00 Mn |
| 6 | Nutrien | 33.30 Bn | 30.16 Bn | 3.25 Bn | 173.00 Mn |
| 7 | Ppg Industries | 25.14 Bn | 17.94 Bn | 1.81 Bn | 71.00 Mn |
| 8 | International Flavors & Fragrances | 23.95 Bn | 21.65 Bn | 853.00 Mn | 46.00 Mn |
| 9 | Dow | 22.98 Bn | 7.98 Bn | 2.17 Bn | 210.00 Mn |
| 10 | Innospec | 2.43 Bn | 1.34 Bn | 138.30 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2014 | 900,000.00 |
| Jun 30, 2014 | 900,000.00 |
| Mar 31, 2014 | 1.00 Mn |
| Dec 31, 2013 | 900,000.00 |
| Sep 30, 2013 | 500,000.00 |
| Jun 30, 2013 | 500,000.00 |
| Mar 31, 2013 | 400,000.00 |
| Dec 31, 2012 | 500,000.00 |
| Sep 30, 2012 | 400,000.00 |
| Jun 30, 2012 | 500,000.00 |
| Mar 31, 2012 | 400,000.00 |
| Dec 31, 2011 | 1.10 Mn |
| Sep 30, 2011 | 800,000.00 |
| Jun 30, 2011 | 1.00 Mn |
| Mar 31, 2011 | 1.00 Mn |
| Dec 31, 2010 | 1.30 Mn |
| Sep 30, 2010 | 1.30 Mn |
| Jun 30, 2010 | 1.20 Mn |
Innospec 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=IOSP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "IOSP", "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=IOSP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();