Brinks (BCO) Property, Plant & Equipment (Net) (2009 - 2026)
Brinks (BCO) recorded Property, Plant & Equipment (Net) of $1.09 billion in Q2 2026, up 0.3% from $1.09 billion a year earlier but down 2.2% from the prior quarter.
Brinks (BCO) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
At the end of FY2025, Brinks reported Property, Plant & Equipment (Net) of $1.13 billion, up 15.0% from FY2024.
- Annual Property, Plant & Equipment (Net) has a five-year compound annual growth rate of 6.2% (FY2020 to FY2025).
- Across earlier years, Property, Plant & Equipment (Net) came in at $982.7 million in FY2024 (-3.0%), $1.01 billion in FY2023 (+8.3%), $935.3 million in FY2022 (+8.1%) and $865.6 million in FY2021 (+3.3%).
- Quarterly Property, Plant & Equipment (Net) has ranged from $844.8 million in Q3 2022 to $1.13 billion in Q4 2025 over the past five years.
- On a year-over-year basis, Property, Plant & Equipment (Net) has increased for six consecutive quarters, with growth averaging 5.8% over the last eight quarters.
- Peak year-over-year performance for Property, Plant & Equipment (Net) in the last five years was growth of 16.5% in Q2 2023, against a decline of 3.0% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.12 billion (Q1 2026), $1.13 billion (Q4 2025) and $1.08 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 141.87 Bn | 102.28 Bn | 6.13 Bn | 1.62 Bn |
| 2 | Cintas | 78.27 Bn | 77.46 Bn | 1.48 Bn | 1.74 Bn |
| 3 | Iron Mountain | 33.11 Bn | 32.63 Bn | 1.07 Bn | 10.27 Bn |
| 4 | APi | 17.29 Bn | 14.33 Bn | 703.00 Mn | 429.00 Mn |
| 5 | Rollins | 14.72 Bn | 14.27 Bn | 569.95 Mn | 126.69 Mn |
| 6 | Aramark | 14.39 Bn | 12.40 Bn | 430.34 Mn | 1.74 Bn |
| 7 | UL Solutions | 13.43 Bn | 12.22 Bn | 417.00 Mn | 766.00 Mn |
| 8 | Gartner | 12.17 Bn | 5.86 Bn | 1.19 Bn | 199.25 Mn |
| 9 | Rentokil Initial | 10.01 Bn | 3.35 Bn | - | 443.00 Mn |
| 10 | Brinks | 4.12 Bn | -2.02 Bn | 366.10 Mn | 1.09 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.09 Bn |
| Mar 31, 2026 | 1.12 Bn |
| Dec 31, 2025 | 1.13 Bn |
| Sep 30, 2025 | 1.08 Bn |
| Jun 30, 2025 | 1.09 Bn |
| Mar 31, 2025 | 1.04 Bn |
| Dec 31, 2024 | 982.70 Mn |
| Sep 30, 2024 | 984.00 Mn |
| Jun 30, 2024 | 975.20 Mn |
| Mar 31, 2024 | 1.00 Bn |
| Dec 31, 2023 | 1.01 Bn |
| Sep 30, 2023 | 965.50 Mn |
| Jun 30, 2023 | 990.20 Mn |
| Mar 31, 2023 | 953.50 Mn |
| Dec 31, 2022 | 935.30 Mn |
| Sep 30, 2022 | 844.80 Mn |
| Jun 30, 2022 | 850.00 Mn |
| Mar 31, 2022 | 870.10 Mn |
| Dec 31, 2021 | 865.60 Mn |
| Sep 30, 2021 | 844.90 Mn |
Brinks 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=BCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "BCO", "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=BCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();