IGC Pharma (IGC) Non Operating Interest Expenses (2010 - 2017)
IGC Pharma (IGC) recorded Non Operating Interest Expenses of $60,527 in Q3 2018, up 30.3% from $46,465 a year earlier and up 48.2% from the prior quarter.
IGC Pharma (IGC) Non Operating Interest Expenses (2010 - 2017) Analysis & Trends
On a TTM basis, IGC Pharma's Non Operating Interest Expenses came in at $232,948 as of Dec 31, 2017, up 33.1% year-over-year; for FY2017, it was $223,464, up 4.5% from FY2016.
- Annual Non Operating Interest Expenses has a five-year compound annual growth rate of -25.7% (FY2012 to FY2017).
- Across earlier years, Non Operating Interest Expenses came in at $213,928 in FY2016 (-25.3%), $286,332 in FY2015 (-1.8%), $291,520 in FY2014 (-45.4%) and $533,882 in FY2013 (-45.7%).
- Quarterly Non Operating Interest Expenses has ranged from $33,928 in Q4 2016 to $504,932 in Q4 2013 over the past five years.
- On a year-over-year basis, Non Operating Interest Expenses rose in three of the last eight quarters, with growth averaging 5.9%.
- Peak year-over-year performance for Non Operating Interest Expenses in the last five years was growth of 962.2% in Q1 2014, against a decline of 88.5% in Q4 2014 at the low end.
- Per Business Quant, the preceding three quarters came in at $40,832 (Q2 2018), $44,546 (Q1 2018) and $87,043 (Q4 2017).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 281.00 Mn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | - |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | - |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | -462.00 Mn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -435.00 Mn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 673.00 Mn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 247.00 Mn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | - |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | - |
| 10 | IGC Pharma | 26.67 Mn | 23.92 Mn | 55,000.00 | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2017 | 60,527.00 |
| Sep 30, 2017 | 40,832.00 |
| Jun 30, 2017 | 44,546.00 |
| Mar 31, 2017 | 87,043.00 |
| Dec 31, 2016 | 46,465.00 |
| Sep 30, 2016 | 51,410.00 |
| Jun 30, 2016 | 43,278.00 |
| Mar 31, 2016 | 33,928.00 |
| Dec 31, 2015 | 51,000.00 |
| Sep 30, 2015 | 67,460.00 |
| Jun 30, 2015 | 61,914.00 |
| Mar 31, 2015 | 83,456.00 |
| Dec 31, 2014 | 61,957.00 |
| Sep 30, 2014 | 79,749.00 |
| Jun 30, 2014 | 61,170.00 |
| Mar 31, 2014 | 58,054.00 |
| Dec 31, 2013 | 52,502.00 |
| Sep 30, 2013 | 68,828.00 |
| Jun 30, 2013 | 112,136.00 |
| Mar 31, 2013 | 504,932.00 |
IGC Pharma 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=IGC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "IGC", "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=IGC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();