EIDP, Inc. (CTA-PB) Interest Expenses (2009 - 2019)
Eidp (CTA-PB) recorded Interest Expenses of $56 million in Q1 2019, down 30.0% from $80 million a year earlier and down 27.3% from the prior quarter.
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Analysis
EIDP, Inc. (CTA-PB) Interest Expenses (2009 - 2019) Analysis & Trends
On a TTM basis, Eidp's Interest Expenses came in at $301 million as of Mar 31, 2019, down 9.9% year-over-year; for FY2018, it was $331 million, up 209.3% from FY2017.
- Annual Interest Expenses has a five-year compound annual growth rate of -5.9% (FY2013 to FY2018).
- Across earlier years, Interest Expenses came in at $107 million in FY2017 (-71.1%), $370 million in FY2016 (+8.2%), $342 million in FY2015 (-9.3%) and $377 million in FY2014 (-15.8%).
- The Q1 2019 figure is the lowest quarterly Interest Expenses in data going back to Q1 2009.
- Peak year-over-year performance for Interest Expenses in the last five years was growth of 13.4% in Q3 2016, against a decline of 30.0% in Q1 2019 at the low end.
- Per Business Quant, the preceding three quarters came in at $77 million (Q4 2018), $82 million (Q3 2018) and $86 million (Q2 2018).
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Historic Data
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Historic Data
| Date | Value |
|---|---|
| Mar 31, 2019 | 56.00 Mn |
| Sep 30, 2018 | 82.00 Mn |
| Jun 30, 2018 | 86.00 Mn |
| Mar 31, 2018 | 80.00 Mn |
| Dec 31, 2017 | 107.00 Mn |
| Aug 31, 2017 | 71.00 Mn |
| Jun 30, 2017 | 99.00 Mn |
| Mar 31, 2017 | 84.00 Mn |
| Dec 31, 2016 | 92.00 Mn |
| Sep 30, 2016 | 93.00 Mn |
| Jun 30, 2016 | 93.00 Mn |
| Mar 31, 2016 | 92.00 Mn |
| Dec 31, 2015 | 82.00 Mn |
| Sep 30, 2015 | 82.00 Mn |
| Jun 30, 2015 | 94.00 Mn |
| Mar 31, 2015 | 84.00 Mn |
| Dec 31, 2014 | 87.00 Mn |
| Sep 30, 2014 | 93.00 Mn |
| Jun 30, 2014 | 94.00 Mn |
| Mar 31, 2014 | 103.00 Mn |
API Access
EIDP, Inc. 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=interest-expenses&ticker=CTA-PB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "CTA-PB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=interest-expenses&ticker=CTA-PB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();