Us Bancorp \De\ (USB) Fed Funds Purchased and Repurchase Agreements (2012 - 2019)
Us Bancorp's Fed Funds Purchased and Repurchase Agreements came in at $1.75 billion for Q1 2019, up 78.1% from $981 million a year earlier but down 32.7% from the prior quarter.
Us Bancorp \De\ (USB) Fed Funds Purchased and Repurchase Agreements (2012 - 2019) Analysis & Trends
At the end of FY2018, Us Bancorp's Fed Funds Purchased and Repurchase Agreements was $2.59 billion, up 223.0% from FY2017.
- Fed Funds Purchased and Repurchase Agreements carries a five-year compound annual growth rate of 4.7% (FY2013 to FY2018).
- Going back by year, Fed Funds Purchased and Repurchase Agreements was $803 million in FY2017 (+0.2%), $801 million in FY2016 (-26.6%), $1.09 billion in FY2015 (+15.2%) and $948 million in FY2014 (-54.0%).
- The five-year range for quarterly Fed Funds Purchased and Repurchase Agreements is $677 million (Q2 2014) to $3.02 billion (Q3 2018).
- Year-over-year, Fed Funds Purchased and Repurchase Agreements has increased for six consecutive quarters, with growth averaging 98.5% over the last eight quarters.
- The fastest year-over-year change in Fed Funds Purchased and Repurchase Agreements over five years came in Q3 2018 (growth of 298.9%), and the weakest in Q2 2014 (a decline of 67.3%).
- Business Quant data shows USB's Fed Funds Purchased and Repurchase Agreements at $2.59 billion (Q4 2018), $3.02 billion (Q3 2018) and $2.57 billion (Q2 2018) in the three quarters before Q1 2019.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Fed Funds & Repos (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - | 703.39 Bn |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - | 427.98 Bn |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - | 315.42 Bn |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - | - |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - | 91.87 Bn |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - | 232.09 Bn |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - | -147.03 Bn |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn | 209.25 Bn |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - | 220.52 Bn |
| 10 | Us Bancorp \De\ | 95.04 Bn | 95.50 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2019 | 1.75 Bn |
| Dec 31, 2018 | 2.59 Bn |
| Sep 30, 2018 | 3.02 Bn |
| Jun 30, 2018 | 2.57 Bn |
| Mar 31, 2018 | 981.00 Mn |
| Dec 31, 2017 | 803.00 Mn |
| Sep 30, 2017 | 758.00 Mn |
| Jun 30, 2017 | 927.00 Mn |
| Mar 31, 2017 | 835.00 Mn |
| Dec 31, 2016 | 801.00 Mn |
| Sep 30, 2016 | 832.00 Mn |
| Jun 30, 2016 | 908.00 Mn |
| Mar 31, 2016 | 1.02 Bn |
| Dec 31, 2015 | 1.09 Bn |
| Sep 30, 2015 | 1.12 Bn |
| Jun 30, 2015 | 975.00 Mn |
| Mar 31, 2015 | 965.00 Mn |
| Dec 31, 2014 | 948.00 Mn |
| Sep 30, 2014 | 686.00 Mn |
| Jun 30, 2014 | 677.00 Mn |
Us Bancorp \De\ Fed Funds Purchased and Repurchase Agreements 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=fed-funds-purchased-and-repurchase-agreements&ticker=USB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "fed-funds-purchased-and-repurchase-agreements", "ticker": "USB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=fed-funds-purchased-and-repurchase-agreements&ticker=USB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();