Jpmorgan Chase (JPM-PJ) Acquisitions (2009 - 2015)
Jpmorgan Chase's Acquisitions came in at $2.36 billion for FY2024, down 76.2% from $9.92 billion in FY2023.
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Analysis
Jpmorgan Chase (JPM-PJ) Acquisitions (2009 - 2015) Analysis & Trends
- Per Business Quant, earlier years put Acquisitions at $9.92 billion in FY2023.
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2015 | -8.00 Mn |
| Jun 30, 2015 | -9.00 Mn |
| Mar 31, 2015 | 1.27 Bn |
| Dec 31, 2014 | 819.00 Mn |
| Sep 30, 2014 | 43.00 Mn |
| Jun 30, 2014 | -19.00 Mn |
| Dec 31, 2013 | -87.00 Mn |
| Sep 30, 2013 | -17.00 Mn |
| Jun 30, 2013 | -8.00 Mn |
| Mar 31, 2013 | -37.00 Mn |
| Dec 31, 2012 | -2.00 Mn |
| Jun 30, 2012 | 120.00 Mn |
| Mar 31, 2012 | -30.00 Mn |
| Dec 31, 2011 | 65.00 Mn |
| Sep 30, 2011 | 51.00 Mn |
| Jun 30, 2011 | 1.00 Mn |
| Mar 31, 2011 | -15.00 Mn |
| Dec 31, 2010 | -264.00 Mn |
| Sep 30, 2010 | -4.64 Bn |
| Jun 30, 2010 | -2.00 Mn |
API Access
Jpmorgan Chase Acquisitions 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=acquisitions&ticker=JPM-PJ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "ticker": "JPM-PJ", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=acquisitions&ticker=JPM-PJ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();