Broadridge Financial Solutions (BR) Change in Accured Expenses (2009 - 2026)
Broadridge Financial Solutions (BR) recorded Change in Accured Expenses of -$64.1 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), compared with $74 million a year earlier.
Broadridge Financial Solutions (BR) Change in Accured Expenses (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Broadridge Financial Solutions reported Change in Accured Expenses of -$86.5 million.
- Across earlier fiscal years, Change in Accured Expenses came in at -$146.5 million in FY2025, $136.5 million in FY2024, -$104.5 million in FY2023 and -$26.7 million in FY2022.
- Quarterly Change in Accured Expenses has ranged from -$453.7 million in fiscal Q1 2025 to $289.7 million in fiscal Q4 2024 over the past five years.
- On a year-over-year basis, Change in Accured Expenses rose in three of the last five quarters, with growth averaging 42.4%.
- Peak year-over-year performance for Change in Accured Expenses in the last five years was growth of 282.7% in fiscal Q4 2024, against a decline of 86.5% in fiscal Q2 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $182.5 million (Q3 2026), $106.8 million (Q2 2026) and -$311.7 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn | 7.31 Mn |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - | -1.08 Bn |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn | - |
| 4 | Salesforce | 193.08 Bn | 148.96 Bn | 8.70 Bn | 891.00 Mn |
| 5 | ServiceNow | 138.94 Bn | 117.40 Bn | 2.82 Bn | 280.00 Mn |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn | 200.00 Mn |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn | 304.00 Mn |
| 8 | Relx | 60.79 Bn | 57.76 Bn | - | - |
| 9 | Strategy | 56.32 Bn | 49.31 Bn | 81.55 Mn | -2.04 Mn |
| 10 | Broadridge Financial Solutions | 17.90 Bn | 16.53 Bn | 853.00 Mn | -64.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -64.10 Mn |
| Mar 31, 2026 | 182.50 Mn |
| Dec 31, 2025 | 106.80 Mn |
| Sep 30, 2025 | -311.70 Mn |
| Jun 30, 2025 | 74.00 Mn |
| Mar 31, 2025 | 125.80 Mn |
| Dec 31, 2024 | 107.40 Mn |
| Sep 30, 2024 | -453.70 Mn |
| Jun 30, 2024 | 289.70 Mn |
| Mar 31, 2024 | 108.00 Mn |
| Dec 31, 2023 | 33.00 Mn |
| Sep 30, 2023 | -294.20 Mn |
| Jun 30, 2023 | 75.70 Mn |
| Mar 31, 2023 | 127.20 Mn |
| Dec 31, 2022 | 11.90 Mn |
| Sep 30, 2022 | -319.30 Mn |
| Jun 30, 2022 | 126.00 Mn |
| Mar 31, 2022 | 83.80 Mn |
| Dec 31, 2021 | 88.20 Mn |
| Sep 30, 2021 | -324.70 Mn |
Broadridge Financial Solutions Change in Accured 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=change-in-accured-expenses&ticker=BR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=BR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();