AbbVie (ABBV) Non Operating Interest Expenses (2012 - 2016)
AbbVie's Non Operating Interest Expenses was $245 million in Q2 2016, up 42.4% from $172 million a year earlier and up 14.0% from the prior quarter.
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Analysis
AbbVie (ABBV) Non Operating Interest Expenses (2012 - 2016) Analysis & Trends
On a trailing twelve-month basis, AbbVie's Non Operating Interest Expenses was $875 million through Jun 30, 2016, up 48.1% year-over-year; for FY2015, it was $719 million, up 67.6% from FY2014.
- Non Operating Interest Expenses has now increased for three consecutive years, with a three-year compound annual growth rate of 90.5% (FY2012 to FY2015).
- In earlier years, Non Operating Interest Expenses was $429 million in FY2014 (+43.5%), $299 million in FY2013 (+187.5%) and $104 million in FY2012.
- The Q2 2016 figure marks the highest quarterly Non Operating Interest Expenses in data going back to Q3 2012.
- Compared with a year earlier, Non Operating Interest Expenses has increased for eight straight quarters, with growth averaging 75.5% over the last eight quarters.
- The best year-over-year quarter for Non Operating Interest Expenses over five years was Q3 2013 (growth of 650.0%); the worst was Q4 2013 (a decline of 21.3%).
- Per Business Quant data, ABBV's Non Operating Interest Expenses in the three quarters before Q2 2016 was $215 million (Q1 2016), $208 million (Q4 2015) and $207 million (Q3 2015).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,109.58 Bn | 1,078.16 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 630.16 Bn | 548.69 Bn | 17.26 Bn | 281.00 Mn |
| 3 | AbbVie | 488.57 Bn | 461.73 Bn | 12.70 Bn | - |
| 4 | Merck | 359.15 Bn | 313.58 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 274.32 Bn | 238.71 Bn | 11.24 Bn | -462.00 Mn |
| 6 | Astrazeneca | 246.73 Bn | 220.50 Bn | 12.86 Bn | -435.00 Mn |
| 7 | Amgen | 224.28 Bn | 179.68 Bn | 7.24 Bn | 673.00 Mn |
| 8 | Gilead Sciences | 187.60 Bn | 161.71 Bn | 6.22 Bn | 247.00 Mn |
| 9 | Pfizer | 161.13 Bn | 108.08 Bn | 10.94 Bn | - |
| 10 | Vertex Pharmaceuticals | 129.23 Bn | 101.23 Bn | 2.84 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2016 | 245.00 Mn |
| Mar 31, 2016 | 215.00 Mn |
| Dec 31, 2015 | 208.00 Mn |
| Sep 30, 2015 | 207.00 Mn |
| Jun 30, 2015 | 172.00 Mn |
| Mar 31, 2015 | 132.00 Mn |
| Dec 31, 2014 | 139.00 Mn |
| Sep 30, 2014 | 148.00 Mn |
| Jun 30, 2014 | 73.00 Mn |
| Mar 31, 2014 | 70.00 Mn |
| Dec 31, 2013 | 74.00 Mn |
| Sep 30, 2013 | 75.00 Mn |
| Jun 30, 2013 | 79.00 Mn |
| Mar 31, 2013 | 72.00 Mn |
| Dec 31, 2012 | 94.00 Mn |
| Sep 30, 2012 | 10.00 Mn |
API Access
AbbVie 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=ABBV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "ABBV", "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=ABBV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();