Innospec (IOSP) Current Debt (2010 - 2023)
Innospec's Current Debt came in at -$700,000 for Q3 2019, compared with $500,000 a year earlier.
Innospec (IOSP) Current Debt (2010 - 2023) Analysis & Trends
Over the trailing twelve months to Sep 30, 2019, Innospec reported Current Debt of $60.8 million, down 11.2% year-over-year; for FY2011, it came in at $13 million, up 116.7% from FY2010.
- Going back by year, Current Debt was $6 million in FY2010 and -$17 million in FY2009.
- The Q3 2019 figure represents the lowest quarterly Current Debt since Q2 2013.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 232.08 Bn | 213.65 Bn | 4.43 Bn | 49.00 Mn |
| 2 | Corning | 113.97 Bn | 106.54 Bn | 1.63 Bn | - |
| 3 | Sherwin Williams | 81.98 Bn | 81.03 Bn | 3.34 Bn | -126.90 Mn |
| 4 | Air Products & Chemicals | 67.40 Bn | 62.58 Bn | 1.04 Bn | -192.70 Mn |
| 5 | LyondellBasell Industries | 41.35 Bn | 30.86 Bn | 2.04 Bn | - |
| 6 | Nutrien | 33.62 Bn | 30.45 Bn | 3.25 Bn | - |
| 7 | Ati | 24.94 Bn | 22.97 Bn | 309.80 Mn | - |
| 8 | Qnity Electronics | 24.80 Bn | 21.94 Bn | 666.00 Mn | - |
| 9 | Ppg Industries | 24.22 Bn | 16.88 Bn | 1.81 Bn | - |
| 10 | Innospec | 2.45 Bn | 1.34 Bn | 138.30 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | -2.30 Mn |
| Sep 30, 2020 | -40.00 Mn |
| Dec 31, 2019 | -72.50 Mn |
| Sep 30, 2019 | -700,000.00 |
| Jun 30, 2019 | -73.00 Mn |
| Sep 30, 2018 | 500,000.00 |
| Mar 31, 2018 | -5.00 Mn |
| Sep 30, 2017 | -20.00 Mn |
| Jun 30, 2017 | 10.00 Mn |
| Mar 31, 2017 | -30.00 Mn |
| Dec 31, 2016 | 18.00 Mn |
| Sep 30, 2016 | -11.00 Mn |
| Jun 30, 2016 | 1.20 Mn |
| Mar 31, 2016 | 19.80 Mn |
| Dec 31, 2015 | -1.60 Mn |
| Sep 30, 2015 | -4.40 Mn |
| Dec 31, 2014 | 24.00 Mn |
| Sep 30, 2014 | -19.00 Mn |
| Mar 31, 2014 | -8.00 Mn |
| Dec 31, 2013 | 25.00 Mn |
Innospec Current 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=current-debt&ticker=IOSP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-debt", "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=current-debt&ticker=IOSP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();