Broadridge Financial Solutions (BR) Accumulated Expenses (2010 - 2018)
Broadridge Financial Solutions (BR) posted Accumulated Expenses of $479.2 million for fiscal Q4 2018 (quarter ended Jun 30, 2018), down 3.3% from $495.3 million a year earlier but up 10.3% from the prior quarter.
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Analysis
Broadridge Financial Solutions (BR) Accumulated Expenses (2010 - 2018) Analysis & Trends
Since fiscal Q4 2010, Broadridge Financial Solutions has reported Accumulated Expenses for 33 quarters.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 11.6% (FY2013 to FY2018).
- In prior fiscal years, Broadridge Financial Solutions' Accumulated Expenses was $495.3 million in FY2017 (+40.6%), $352.2 million in FY2016 (+9.9%), $320.4 million in FY2015 (+4.5%) and $306.6 million in FY2014 (+10.6%).
- Quarterly Accumulated Expenses has run from a low of $171.8 million in fiscal Q1 2014 to a high of $495.3 million in fiscal Q4 2017 over five years.
- On a year-over-year basis, Accumulated Expenses increased in seven of the last eight quarters, with growth averaging 21.5%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was fiscal Q4 2017, with growth of 40.6%; the weakest was fiscal Q4 2018, with a decline of 3.3%.
- According to Business Quant data, Accumulated Expenses for the three prior fiscal quarters was $434.5 million (Q3 2018), $372.5 million (Q2 2018) and $331 million (Q1 2018).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 449.46 Bn | 418.52 Bn | 1.64 Bn |
| 2 | Oracle | 415.29 Bn | 287.84 Bn | - |
| 3 | Sap Se | 256.30 Bn | 177.39 Bn | 8.40 Bn |
| 4 | Salesforce | 188.94 Bn | 144.82 Bn | 8.70 Bn |
| 5 | ServiceNow | 138.57 Bn | 117.03 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 102.66 Bn | 84.78 Bn | 2.51 Bn |
| 7 | Intuit | 74.00 Bn | 53.35 Bn | 3.44 Bn |
| 8 | Relx | 60.34 Bn | 57.31 Bn | - |
| 9 | Strategy | 53.88 Bn | 46.87 Bn | 81.55 Mn |
| 10 | Broadridge Financial Solutions | 18.37 Bn | 17.00 Bn | 853.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2018 | 479.20 Mn |
| Mar 31, 2018 | 434.50 Mn |
| Dec 31, 2017 | 372.50 Mn |
| Sep 30, 2017 | 331.00 Mn |
| Jun 30, 2017 | 495.30 Mn |
| Mar 31, 2017 | 364.00 Mn |
| Dec 31, 2016 | 294.20 Mn |
| Sep 30, 2016 | 308.40 Mn |
| Jun 30, 2016 | 352.20 Mn |
| Mar 31, 2016 | 291.50 Mn |
| Dec 31, 2015 | 248.00 Mn |
| Sep 30, 2015 | 223.80 Mn |
| Jun 30, 2015 | 320.40 Mn |
| Mar 31, 2015 | 250.90 Mn |
| Dec 31, 2014 | 206.90 Mn |
| Sep 30, 2014 | 190.00 Mn |
| Jun 30, 2014 | 306.60 Mn |
| Mar 31, 2014 | 220.60 Mn |
| Dec 31, 2013 | 192.20 Mn |
| Sep 30, 2013 | 171.80 Mn |
API Access
Broadridge Financial Solutions 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=BR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "BR", "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=BR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();