Brinks (BCO) Sales of Property, Plant and Equipment (2010 - 2026)
Brinks' Sales of Property, Plant and Equipment was $2.3 million in Q2 2026, down 68.1% from $7.2 million a year earlier and down 30.3% from the prior quarter.
Brinks (BCO) Sales of Property, Plant and Equipment (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Brinks' Sales of Property, Plant and Equipment was $14.3 million through Jun 30, 2026, down 58.6% year-over-year; for FY2025, it came in at $18.5 million, down 36.6% from FY2024.
- Sales of Property, Plant and Equipment shows a five-year compound annual growth rate of 28.4% (FY2020 to FY2025).
- In earlier years, Sales of Property, Plant and Equipment was $29.2 million in FY2024 (+58.7%), $18.4 million in FY2023 (+222.8%), $5.7 million in FY2022 (-26.0%) and $7.7 million in FY2021 (+45.3%).
- Quarterly Sales of Property, Plant and Equipment has moved between -$3.3 million (Q4 2025) and $17.2 million (Q4 2024) over five years.
- Compared with a year earlier, Sales of Property, Plant and Equipment was higher in five of the last seven quarters, with growth averaging 101.2%.
- The best year-over-year quarter for Sales of Property, Plant and Equipment over five years was Q2 2025 (growth of 620.0%); the worst was Q1 2023 (a decline of 75.0%).
- Per Business Quant data, BCO's Sales of Property, Plant and Equipment in the three quarters before Q2 2026 was $3.3 million (Q1 2026), -$3.3 million (Q4 2025) and $12 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Sale) (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | - |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | - |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 3.85 Mn |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | 2.00 Mn |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | 3.86 Mn |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | 497,000.00 |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | - |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | - |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | - |
| 10 | Brinks | 4.20 Bn | -1.94 Bn | 366.10 Mn | 2.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.30 Mn |
| Mar 31, 2026 | 3.30 Mn |
| Dec 31, 2025 | -3.30 Mn |
| Sep 30, 2025 | 12.00 Mn |
| Jun 30, 2025 | 7.20 Mn |
| Mar 31, 2025 | 2.60 Mn |
| Dec 31, 2024 | 17.20 Mn |
| Sep 30, 2024 | 7.50 Mn |
| Jun 30, 2024 | 1.00 Mn |
| Mar 31, 2024 | 3.50 Mn |
| Dec 31, 2023 | 12.70 Mn |
| Sep 30, 2023 | 4.70 Mn |
| Jun 30, 2023 | 700,000.00 |
| Mar 31, 2023 | 300,000.00 |
| Dec 31, 2022 | 2.40 Mn |
| Sep 30, 2022 | 1.30 Mn |
| Jun 30, 2022 | 800,000.00 |
| Mar 31, 2022 | 1.20 Mn |
| Dec 31, 2021 | 2.00 Mn |
| Sep 30, 2021 | 2.30 Mn |
Brinks Sales of Property, Plant and Equipment 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=sales-of-property-plant-and-equipment&ticker=BCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "sales-of-property-plant-and-equipment", "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=sales-of-property-plant-and-equipment&ticker=BCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();