Broadridge Financial Solutions (BR) Operating Expenses (2009 - 2026)
Broadridge Financial Solutions (BR) posted Operating Expenses of $1.67 billion for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 6.8% from $1.57 billion a year earlier and up 5.0% from the prior quarter.
Broadridge Financial Solutions (BR) Operating Expenses (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Broadridge Financial Solutions' Operating Expenses came in at $6.18 billion, up 8.3% from FY2025.
- Annual Operating Expenses has increased for seven consecutive fiscal years, with a five-year compound annual growth rate of 7.4% (FY2021 to FY2026).
- In prior fiscal years, Broadridge Financial Solutions' Operating Expenses was $5.7 billion in FY2025 (+3.8%), $5.49 billion in FY2024 (+7.1%), $5.12 billion in FY2023 (+3.5%) and $4.95 billion in FY2022 (+14.7%).
- The fiscal Q4 2026 figure stands as the highest quarterly Operating Expenses in data going back to fiscal Q1 2010.
- On a year-over-year basis, Operating Expenses has increased in each of the last 14 quarters, with growth averaging 6.1% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q2 2022, with growth of 22.1%; the weakest was fiscal Q2 2023, with a decline of 0.5%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $1.59 billion (Q3 2026), $1.51 billion (Q2 2026) and $1.4 billion (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 726.59 Mn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 12.62 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | -8.41 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 6.37 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 2.66 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 4.34 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 3.88 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 8.41 Bn |
| 10 | Broadridge Financial Solutions | 18.57 Bn | 17.20 Bn | 853.00 Mn | 1.67 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.67 Bn |
| Mar 31, 2026 | 1.59 Bn |
| Dec 31, 2025 | 1.51 Bn |
| Sep 30, 2025 | 1.40 Bn |
| Jun 30, 2025 | 1.57 Bn |
| Mar 31, 2025 | 1.47 Bn |
| Dec 31, 2024 | 1.38 Bn |
| Sep 30, 2024 | 1.29 Bn |
| Jun 30, 2024 | 1.50 Bn |
| Mar 31, 2024 | 1.42 Bn |
| Dec 31, 2023 | 1.28 Bn |
| Sep 30, 2023 | 1.28 Bn |
| Jun 30, 2023 | 1.38 Bn |
| Mar 31, 2023 | 1.36 Bn |
| Dec 31, 2022 | 1.19 Bn |
| Sep 30, 2022 | 1.20 Bn |
| Jun 30, 2022 | 1.38 Bn |
| Mar 31, 2022 | 1.29 Bn |
| Dec 31, 2021 | 1.19 Bn |
| Sep 30, 2021 | 1.09 Bn |
Broadridge Financial Solutions Operating 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=operating-expenses&ticker=BR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=BR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();