Innospec (IOSP) Non-Current Debt (2010 - 2020)
Innospec (IOSP) recorded Non-Current Debt of -$82.5 million in FY2019, compared with -$16.5 million in FY2018.
Analysis
Innospec (IOSP) Non-Current Debt (2010 - 2020) Analysis & Trends
Starting with FY2016, Innospec's Non-Current Debt history includes 4 years.
- Per Business Quant data, IOSP's Non-Current Debt was -$16.5 million in FY2018, -$11 million in FY2017 and $110 million in FY2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 232.08 Bn | 213.65 Bn | 4.43 Bn | 20.68 Bn |
| 2 | Corning | 113.97 Bn | 106.54 Bn | 1.63 Bn | 7.80 Bn |
| 3 | Sherwin Williams | 81.98 Bn | 81.03 Bn | 3.34 Bn | 8.33 Bn |
| 4 | Air Products & Chemicals | 67.40 Bn | 62.58 Bn | 1.04 Bn | 16.59 Bn |
| 5 | LyondellBasell Industries | 41.35 Bn | 30.86 Bn | 2.04 Bn | 11.22 Bn |
| 6 | Nutrien | 33.62 Bn | 30.45 Bn | 3.25 Bn | 9.43 Bn |
| 7 | Ati | 24.94 Bn | 22.97 Bn | 309.80 Mn | 1.81 Bn |
| 8 | Qnity Electronics | 24.80 Bn | 21.94 Bn | 666.00 Mn | 4.00 Bn |
| 9 | Ppg Industries | 24.22 Bn | 16.88 Bn | 1.81 Bn | 6.20 Bn |
| 10 | Innospec | 2.45 Bn | 1.34 Bn | 138.30 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2020 | 38.80 Mn |
| Mar 31, 2020 | 58.70 Mn |
| Dec 31, 2019 | 58.60 Mn |
| Sep 30, 2019 | 131.20 Mn |
| Jun 30, 2019 | 136.50 Mn |
| Mar 31, 2019 | 186.30 Mn |
| Dec 31, 2018 | 186.20 Mn |
| Sep 30, 2018 | 208.10 Mn |
| Jun 30, 2018 | 208.00 Mn |
| Mar 31, 2018 | 197.80 Mn |
| Dec 31, 2017 | 202.60 Mn |
| Sep 30, 2017 | 219.00 Mn |
| Jun 30, 2017 | 238.80 Mn |
| Mar 31, 2017 | 228.70 Mn |
| Dec 31, 2016 | 258.50 Mn |
| Sep 30, 2016 | 143.00 Mn |
| Jun 30, 2016 | 154.00 Mn |
| Mar 31, 2016 | 146.00 Mn |
| Dec 31, 2015 | 131.60 Mn |
| Sep 30, 2015 | 127.00 Mn |
API Access
Innospec Non-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=non-current-debt&ticker=IOSP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-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=non-current-debt&ticker=IOSP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();