Brady (BRC) Operating Expenses (2009 - 2026)
Brady's Operating Expenses was $171.02 million in fiscal Q4 2026 (quarter ended Jul 31, 2026), up 21.3% from $140.94 million a year earlier and up 12.3% from the prior quarter.
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Analysis
Brady (BRC) Operating Expenses (2009 - 2026) Analysis & Trends
For FY2026 (ended Jul 31, 2026), Operating Expenses at Brady came in at $596.34 million, up 13.8% from FY2025.
- Operating Expenses has now increased for three consecutive fiscal years, with a five-year compound annual growth rate of 8.6% (FY2021 to FY2026).
- In earlier fiscal years, Operating Expenses was $524.18 million in FY2025 (+17.9%), $444.47 million in FY2024 (+2.9%), $432.06 million in FY2023 (-1.5%) and $438.54 million in FY2022 (+11.2%).
- The fiscal Q4 2026 figure marks the highest quarterly Operating Expenses since fiscal Q4 2014.
- Compared with a year earlier, Operating Expenses has increased for eight straight quarters, with growth averaging 15.8% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was fiscal Q4 2025 (growth of 27.2%); the worst was fiscal Q1 2023 (a decline of 6.1%).
- Per Business Quant data, BRC's Operating Expenses in the three fiscal quarters before Q4 2026 was $152.26 million (Q3 2026), $132.2 million (Q2 2026) and $140.86 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 16.25 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 963.40 Mn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 1.46 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 490.50 Mn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 1.34 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 5.52 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | - |
| 10 | Brady | 3.98 Bn | 3.26 Bn | 231.13 Mn | 171.02 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 171.02 Mn |
| Apr 30, 2026 | 152.26 Mn |
| Jan 31, 2026 | 132.20 Mn |
| Oct 31, 2025 | 140.86 Mn |
| Jul 31, 2025 | 140.94 Mn |
| Apr 30, 2025 | 127.87 Mn |
| Jan 31, 2025 | 124.61 Mn |
| Oct 31, 2024 | 130.77 Mn |
| Jul 31, 2024 | 110.84 Mn |
| Apr 30, 2024 | 113.48 Mn |
| Jan 31, 2024 | 108.16 Mn |
| Oct 31, 2023 | 111.99 Mn |
| Jul 31, 2023 | 113.84 Mn |
| Apr 30, 2023 | 106.69 Mn |
| Jan 31, 2023 | 107.66 Mn |
| Oct 31, 2022 | 103.88 Mn |
| Jul 31, 2022 | 110.26 Mn |
| Apr 30, 2022 | 111.14 Mn |
| Jan 31, 2022 | 106.49 Mn |
| Oct 31, 2021 | 110.65 Mn |
API Access
Brady 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=BRC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=BRC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();