Sei Investments (SEIC) Buildings (2010 - 2013)
Sei Investments' Buildings came in at $138.11 million for Q3 2013, up 0.4% from $137.6 million a year earlier and up 0.1% from the prior quarter.
Powered by 
Analysis
Sei Investments (SEIC) Buildings (2010 - 2013) Analysis & Trends
At the end of FY2012, Sei Investments' Buildings was $137.75 million, up 0.6% from FY2011.
- Going back by year, Buildings was $136.95 million in FY2011 (+0.7%) and $135.94 million in FY2010.
- The Q3 2013 figure represents the highest quarterly Buildings in data going back to Q4 2010.
- Year-over-year, Buildings has increased for six consecutive quarters, with growth averaging 0.6% over the last seven quarters.
- Business Quant data shows SEIC's Buildings at $138 million (Q2 2013), $137.94 million (Q1 2013) and $137.75 million (Q4 2012) in the three quarters before Q3 2013.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Robinhood Markets | 101.35 Bn | 82.45 Bn | - |
| 2 | Bank of New York Mellon | 98.65 Bn | 38.02 Bn | - |
| 3 | Cme | 94.54 Bn | 94.54 Bn | - |
| 4 | Intercontinental Exchange | 84.23 Bn | 78.04 Bn | - |
| 5 | Nasdaq | 50.77 Bn | 48.20 Bn | 1.50 Bn |
| 6 | State Street | 48.31 Bn | 48.31 Bn | - |
| 7 | Interactive Brokers | 39.79 Bn | 33.24 Bn | - |
| 8 | Northern Trust | 31.37 Bn | 31.37 Bn | - |
| 9 | Cboe Global Markets | 28.34 Bn | 20.00 Bn | 731.60 Mn |
| 10 | Sei Investments | 12.29 Bn | 10.65 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2013 | 138.11 Mn |
| Jun 30, 2013 | 138.00 Mn |
| Mar 31, 2013 | 137.94 Mn |
| Dec 31, 2012 | 137.75 Mn |
| Sep 30, 2012 | 137.60 Mn |
| Jun 30, 2012 | 137.42 Mn |
| Mar 31, 2012 | 137.33 Mn |
| Dec 31, 2011 | 136.95 Mn |
| Sep 30, 2011 | 136.69 Mn |
| Jun 30, 2011 | 136.41 Mn |
| Dec 31, 2010 | 135.94 Mn |
API Access
Sei Investments Buildings 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=buildings&ticker=SEIC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "ticker": "SEIC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=buildings&ticker=SEIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();