Brady (BRC) Change in Accured Expenses (2009 - 2026)
Brady's Change in Accured Expenses came in at $14.85 million for fiscal Q4 2026 (quarter ended Jul 31, 2026), down 10.3% from $16.55 million a year earlier and down 55.1% from the prior quarter.
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Analysis
Brady (BRC) Change in Accured Expenses (2009 - 2026) Analysis & Trends
For FY2026 (ended Jul 31, 2026), Brady's Change in Accured Expenses was $13.21 million.
- Change in Accured Expenses carries a five-year compound annual growth rate of -25.7% (FY2021 to FY2026).
- Going back by fiscal year, Change in Accured Expenses was -$9.86 million in FY2025, $19.2 million in FY2024, -$9.46 million in FY2023 and $6.83 million in FY2022 (-88.3%).
- The five-year range for quarterly Change in Accured Expenses is -$34.86 million (fiscal Q2 2022) to $33.07 million (fiscal Q3 2026).
- Year-over-year, Change in Accured Expenses increased in two of the last four quarters, with growth averaging 33.9%.
- The fastest year-over-year change in Change in Accured Expenses over five years came in fiscal Q3 2026 (growth of 117.1%), and the weakest in fiscal Q3 2023 (a decline of 52.2%).
- Business Quant data shows BRC's Change in Accured Expenses at $33.07 million (Q3 2026), -$15.18 million (Q2 2026) and -$19.53 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 715.00 Mn |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | - |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | 67.00 Mn |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | - |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | - |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 117.60 Mn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 191.00 Mn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | - |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 57.00 Mn |
| 10 | Brady | 4.00 Bn | 3.28 Bn | 231.13 Mn | 14.85 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 14.85 Mn |
| Apr 30, 2026 | 33.07 Mn |
| Jan 31, 2026 | -15.18 Mn |
| Oct 31, 2025 | -19.53 Mn |
| Jul 31, 2025 | 16.55 Mn |
| Apr 30, 2025 | 15.24 Mn |
| Jan 31, 2025 | -7.69 Mn |
| Oct 31, 2024 | -33.96 Mn |
| Jul 31, 2024 | 11.85 Mn |
| Apr 30, 2024 | 17.10 Mn |
| Jan 31, 2024 | -6.03 Mn |
| Oct 31, 2023 | -3.73 Mn |
| Jul 31, 2023 | 10.25 Mn |
| Apr 30, 2023 | 9.45 Mn |
| Jan 31, 2023 | -15.01 Mn |
| Oct 31, 2022 | -14.15 Mn |
| Jul 31, 2022 | 12.41 Mn |
| Apr 30, 2022 | 19.77 Mn |
| Jan 31, 2022 | -34.86 Mn |
| Oct 31, 2021 | 9.50 Mn |
API Access
Brady 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=BRC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "BRC", "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=BRC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();