EIDP, Inc. (CTA-PB) Operating Expenses (2009 - 2019)
Eidp (CTA-PB) posted Operating Expenses of $1.38 billion for Q1 2019, down 4.0% from $1.44 billion a year earlier but up 23.0% from the prior quarter.
Powered by 
Analysis
EIDP, Inc. (CTA-PB) Operating Expenses (2009 - 2019) Analysis & Trends
For the trailing twelve months through Mar 31, 2019, Operating Expenses at Eidp was $5.54 billion, down 12.0% year-over-year; for FY2018, it was $5.86 billion, up 222.1% from FY2017.
- Annual Operating Expenses shows a five-year compound annual growth rate of -29.1% (FY2013 to FY2018).
- In prior years, Eidp's Operating Expenses was $1.82 billion in FY2017 (-72.1%), $6.52 billion in FY2016 (-10.8%), $7.31 billion in FY2015 (-76.5%) and $31.06 billion in FY2014 (-4.9%).
- Quarterly Operating Expenses has run from a low of $1.12 billion in Q4 2018 to a high of $11.24 billion in Q4 2014 over five years.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2014, with growth of 45.7%; the weakest was Q4 2015, with a decline of 86.1%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $1.12 billion (Q4 2018), $1.37 billion (Q3 2018) and $1.67 billion (Q2 2018).
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2019 | 1.38 Bn |
| Dec 31, 2018 | 115.00 Mn |
| Sep 30, 2018 | 1.37 Bn |
| Jun 30, 2018 | 1.67 Bn |
| Mar 31, 2018 | 1.44 Bn |
| Dec 31, 2017 | 1.82 Bn |
| Aug 31, 2017 | 1.09 Bn |
| Jun 30, 2017 | 1.95 Bn |
| Mar 31, 2017 | 1.83 Bn |
| Dec 31, 2016 | 1.74 Bn |
| Sep 30, 2016 | 1.60 Bn |
| Jun 30, 2016 | 1.56 Bn |
| Mar 31, 2016 | 1.62 Bn |
| Dec 31, 2015 | 1.56 Bn |
| Sep 30, 2015 | 4.74 Bn |
| Jun 30, 2015 | 7.70 Bn |
| Mar 31, 2015 | 7.77 Bn |
| Dec 31, 2014 | 11.24 Bn |
| Sep 30, 2014 | 5.64 Bn |
| Jun 30, 2014 | 8.67 Bn |
API Access
EIDP, Inc. Operating 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=operating-expenses&ticker=CTA-PB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=CTA-PB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();