Aon (AON) Treasury Shares (2009 - 2017)
Aon (AON) posted Treasury Shares of $1.9 billion for Q3 2017, up 71.64% on a QoQ basis from $1.1 billion in Q2 2017, and up 82.06% year-over-year from $1.0 billion in Q3 2016.
Aon (AON) Treasury Shares (2009 - 2017) Analysis & Trends
Aon has reported Treasury Shares for 9 years, with the latest figure at $1.9 billion in Q3 2017.
- On a quarterly basis, Treasury Shares rose 82.06% year-over-year to $1.9 billion in Q3 2017; TTM through Sep 2017 was $1.9 billion, a 82.06% increase from a year earlier, with the FY2016 full-year figure at $1.3 billion, down 18.9% from the prior year.
- Treasury Shares was $1.9 billion for Q3 2017 at Aon, up from $1.1 billion in the prior quarter.
- The five-year high for Treasury Shares was $96.4 million in Q4 2009, with the low at $53.6 million in Q4 2010.
- Average Treasury Shares over 4 years is $75.4 million, with a median of $75.6 million recorded in 2009.
- The sharpest annual moves came in 2013 and 2016: Treasury Shares slumped 87.86% in 2013, then surged 174.0% in 2016.
- Over 5 years, Treasury Shares stood at $1.1 billion in 2013, then jumped by 104.17% to $2.2 billion in 2014, then tumbled by 31.11% to $1.6 billion in 2015, then dropped by 18.9% to $1.3 billion in 2016, then surged by 50.2% to $1.9 billion in 2017.
- The last three Treasury Shares figures came in at $1.9 billion (Q3 2017), $1.1 billion (Q2 2017), and $126.0 million (Q1 2017), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Treasury Shares (Qtr) |
|---|---|---|---|---|---|
| 1 | Marsh & Mclennan Companies | 81.24 Bn | 69.29 Bn | 6.04 Bn | 82.72 Mn |
| 2 | Aon | 60.67 Bn | 59.43 Bn | - | - |
| 3 | Arthur J. Gallagher | 59.09 Bn | 57.73 Bn | - | - |
| 4 | Willis Towers Watson | 28.02 Bn | 26.44 Bn | 2.09 Bn | - |
| 5 | Brown & Brown | 20.61 Bn | 19.72 Bn | 1.41 Bn | 29.00 Mn |
| 6 | XChange TEC.INC | 11.95 Bn | 11.95 Bn | - | - |
| 7 | Erie Indemnity | 10.83 Bn | 10.48 Bn | - | 22.11 Mn |
| 8 | Ryan Specialty Holdings | 9.82 Bn | 10.19 Bn | - | - |
| 9 | Hagerty | 4.67 Bn | 4.81 Bn | 244.11 Mn | 8.48 Mn |
| 10 | Baldwin Insurance | 4.45 Bn | 4.81 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2017 | 1.89 Bn |
| Sep 30, 2017 | 1.89 Bn |
| Jun 30, 2017 | 1.10 Bn |
| Jun 30, 2017 | 1.10 Bn |
| Mar 31, 2017 | 126.00 Mn |
| Mar 31, 2017 | 126.00 Mn |
| Dec 31, 2016 | 1.26 Bn |
| Dec 31, 2016 | 1.26 Bn |
| Sep 30, 2016 | 1.04 Bn |
| Sep 30, 2016 | 1.04 Bn |
| Jun 30, 2016 | 750.00 Mn |
| Jun 30, 2016 | 750.00 Mn |
| Mar 31, 2016 | 685.00 Mn |
| Mar 31, 2016 | 685.00 Mn |
| Dec 31, 2015 | 1.55 Bn |
| Dec 31, 2015 | 1.55 Bn |
| Sep 30, 2015 | 1.15 Bn |
| Sep 30, 2015 | 1.15 Bn |
| Jun 30, 2015 | 550.00 Mn |
| Jun 30, 2015 | 550.00 Mn |
Aon Treasury Shares 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=treasury-shares&ticker=AON&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "treasury-shares", "ticker": "AON", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=treasury-shares&ticker=AON&period=max&api_key=YOUR_API_KEY");
const data = await res.json();