Msci (MSCI) Accumulated Expenses (2009 - 2016)
Msci (MSCI) recorded Accumulated Expenses of $82.53 million in Q4 2016, up 34.3% from $61.43 million a year earlier and up 8.8% from the prior quarter.
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Analysis
Msci (MSCI) Accumulated Expenses (2009 - 2016) Analysis & Trends
Starting with Q4 2009, Msci's Accumulated Expenses history includes 27 quarters.
- Annual Accumulated Expenses has increased for three straight years, with a five-year compound annual growth rate of 12.6% (FY2011 to FY2016).
- Across earlier years, Accumulated Expenses came in at $61.43 million in FY2015 (+28.3%), $47.89 million in FY2014 (+16.2%), $41.21 million in FY2013 (-3.0%) and $42.49 million in FY2012 (-6.6%).
- The Q4 2016 figure is the highest quarterly Accumulated Expenses in data going back to Q4 2009.
- On a year-over-year basis, Accumulated Expenses has increased for three consecutive quarters, with growth averaging 21.5% over the last eight quarters.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 61.5% in Q1 2015, against a decline of 21.6% in Q2 2013 at the low end.
- Per Business Quant, the preceding three quarters came in at $75.84 million (Q3 2016), $74.82 million (Q2 2016) and $61.89 million (Q1 2016).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | S&P Global | 116.38 Bn | 111.98 Bn | 2.98 Bn |
| 2 | Moodys | 78.67 Bn | 71.10 Bn | 1.67 Bn |
| 3 | Msci | 39.16 Bn | 37.50 Bn | 717.10 Mn |
| 4 | Verisk Analytics | 21.84 Bn | 16.48 Bn | 572.90 Mn |
| 5 | Equifax | 16.14 Bn | 15.54 Bn | 926.40 Mn |
| 6 | TransUnion | 11.72 Bn | 8.70 Bn | - |
| 7 | Factset Research Systems | 9.66 Bn | 8.43 Bn | 310.73 Mn |
| 8 | Morningstar | 7.13 Bn | 5.03 Bn | 423.90 Mn |
| 9 | Mastercard | 480.27 Bn | 440.19 Bn | - |
| 10 | Cme | 94.12 Bn | 94.12 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2016 | 82.53 Mn |
| Sep 30, 2016 | 75.84 Mn |
| Jun 30, 2016 | 74.82 Mn |
| Mar 31, 2016 | 61.89 Mn |
| Dec 31, 2015 | 61.43 Mn |
| Sep 30, 2015 | 68.26 Mn |
| Jun 30, 2015 | 47.83 Mn |
| Mar 31, 2015 | 65.03 Mn |
| Dec 31, 2014 | 47.89 Mn |
| Sep 30, 2014 | 64.30 Mn |
| Jun 30, 2014 | 60.72 Mn |
| Mar 31, 2014 | 40.25 Mn |
| Dec 31, 2013 | 41.21 Mn |
| Sep 30, 2013 | 46.38 Mn |
| Jun 30, 2013 | 38.46 Mn |
| Mar 31, 2013 | 42.58 Mn |
| Dec 31, 2012 | 42.49 Mn |
| Sep 30, 2012 | 41.58 Mn |
| Jun 30, 2012 | 49.04 Mn |
| Mar 31, 2012 | 48.44 Mn |
API Access
Msci Accumulated 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=accumulated-expenses&ticker=MSCI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "MSCI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=MSCI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();