Brinks Co (BCO) Accumulated Expenses (2009 - 2026)
Brinks (BCO) recorded Accumulated Expenses of $1.18 billion in Q2 2026, up 4.5% from $1.13 billion a year earlier but down 3.1% from the prior quarter.
Analysis
Brinks Co (BCO) Accumulated Expenses (2009 - 2026) Analysis & Trends
Starting with Q4 2009, Brinks' Accumulated Expenses history includes 66 quarters.
- Annual Accumulated Expenses has a five-year compound annual growth rate of 8.7% (FY2020 to FY2025).
- Across earlier years, Accumulated Expenses came in at $1.06 billion in FY2024 (-6.1%), $1.13 billion in FY2023 (+10.5%), $1.02 billion in FY2022 (+16.2%) and $877.3 million in FY2021 (+12.6%).
- Quarterly Accumulated Expenses has ranged from $867.4 million in Q2 2022 to $1.22 billion in Q1 2026 over the past five years.
- On a year-over-year basis, Accumulated Expenses has increased for five consecutive quarters, with growth averaging 4.9% over the last eight quarters.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 16.2% in Q3 2021, against a decline of 6.1% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.22 billion (Q1 2026), $1.18 billion (Q4 2025) and $1.16 billion (Q3 2025).
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.18 Bn |
| Mar 31, 2026 | 1.22 Bn |
| Dec 31, 2025 | 1.18 Bn |
| Sep 30, 2025 | 1.16 Bn |
| Jun 30, 2025 | 1.13 Bn |
| Mar 31, 2025 | 1.08 Bn |
| Dec 31, 2024 | 1.06 Bn |
| Sep 30, 2024 | 1.10 Bn |
| Jun 30, 2024 | 1.08 Bn |
| Mar 31, 2024 | 1.11 Bn |
| Dec 31, 2023 | 1.13 Bn |
| Sep 30, 2023 | 1.02 Bn |
| Jun 30, 2023 | 949.40 Mn |
| Mar 31, 2023 | 985.70 Mn |
| Dec 31, 2022 | 1.02 Bn |
| Sep 30, 2022 | 888.30 Mn |
| Jun 30, 2022 | 867.40 Mn |
| Mar 31, 2022 | 882.00 Mn |
| Dec 31, 2021 | 877.30 Mn |
| Sep 30, 2021 | 905.20 Mn |
API Access
Brinks Co Accumulated 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=accumulated-expenses&ticker=BCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=BCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();