Brady (BRC) Property, Plant & Equipment (Net) (2010 - 2026)
Brady (BRC) reported Property, Plant & Equipment (Net) of $254.46 million for fiscal Q4 2026 (quarter ended Jul 31, 2026), up 12.8% from $225.57 million a year earlier and up 4.4% from the prior quarter.
Brady (BRC) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
Dating back to fiscal Q4 2010, Brady's Property, Plant & Equipment (Net) record includes 65 quarters.
- Property, Plant & Equipment (Net) has increased for eight consecutive fiscal years, with a five-year compound annual growth rate of 15.9% (FY2021 to FY2026).
- By fiscal year, Property, Plant & Equipment (Net) came in at $225.57 million in FY2025 (+15.2%), $195.76 million in FY2024 (+37.7%), $142.15 million in FY2023 (+1.9%) and $139.51 million in FY2022 (+14.6%).
- The fiscal Q4 2026 figure ranks as the highest quarterly Property, Plant & Equipment (Net) in data going back to fiscal Q4 2010.
- Year over year, Property, Plant & Equipment (Net) has now increased in each of the last 32 quarters, with growth averaging 16.8% over the last eight quarters.
- Across the past five years, year-over-year growth in Property, Plant & Equipment (Net) ran from 1.9% in fiscal Q4 2023 to 40.0% in fiscal Q1 2025.
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $243.72 million (Q3 2026), $244.05 million (Q2 2026) and $232.52 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 15.63 Bn |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | 2.93 Bn |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | - |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 4.70 Bn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 3.02 Bn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 1.18 Bn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 2.86 Bn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | 6.88 Bn |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 2.24 Bn |
| 10 | Brady | 4.00 Bn | 3.28 Bn | 231.13 Mn | 254.46 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 254.46 Mn |
| Apr 30, 2026 | 243.72 Mn |
| Jan 31, 2026 | 244.05 Mn |
| Oct 31, 2025 | 232.52 Mn |
| Jul 31, 2025 | 225.57 Mn |
| Apr 30, 2025 | 219.08 Mn |
| Jan 31, 2025 | 199.08 Mn |
| Oct 31, 2024 | 201.37 Mn |
| Jul 31, 2024 | 195.76 Mn |
| Apr 30, 2024 | 194.73 Mn |
| Jan 31, 2024 | 190.78 Mn |
| Oct 31, 2023 | 143.79 Mn |
| Jul 31, 2023 | 142.15 Mn |
| Apr 30, 2023 | 139.75 Mn |
| Jan 31, 2023 | 140.78 Mn |
| Oct 31, 2022 | 136.32 Mn |
| Jul 31, 2022 | 139.51 Mn |
| Apr 30, 2022 | 125.01 Mn |
| Jan 31, 2022 | 126.55 Mn |
| Oct 31, 2021 | 128.62 Mn |
Brady Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=BRC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=BRC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();