Brinks (BCO) Cost of Revenue (2009 - 2026)
Brinks (BCO) posted Cost of Revenue of $1.03 billion for Q2 2026, up 5.1% from $976.7 million a year earlier and up 0.7% from the prior quarter.
Brinks (BCO) Cost of Revenue (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Cost of Revenue at Brinks was $4.03 billion, up 6.3% year-over-year; for FY2025, it was $3.9 billion, up 4.3% from FY2024.
- Annual Cost of Revenue has increased for nine consecutive years, with a five-year compound annual growth rate of 6.3% (FY2020 to FY2025).
- In prior years, Brinks' Cost of Revenue was $3.74 billion in FY2024 (+1.0%), $3.71 billion in FY2023 (+7.1%), $3.46 billion in FY2022 (+7.0%) and $3.24 billion in FY2021 (+12.5%).
- The Q2 2026 figure stands as the highest quarterly Cost of Revenue in data going back to Q2 2009.
- On a year-over-year basis, Cost of Revenue has increased in each of the last eight quarters, with growth averaging 4.3% over the last eight quarters.
- The strongest year-over-year quarter for Cost of Revenue in the past five years was Q3 2021, with growth of 12.7%; the weakest was Q2 2024, with a decline of 0.6%.
- According to Business Quant data, Cost of Revenue for the three prior quarters was $1.02 billion (Q1 2026), $996.6 million (Q4 2025) and $990.4 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | 12.58 Bn |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 1.42 Bn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 958.61 Mn |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | 1.55 Bn |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | 4.63 Bn |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | 508.63 Mn |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | 399.00 Mn |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | 486.91 Mn |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | - |
| 10 | Brinks | 4.20 Bn | -1.94 Bn | 366.10 Mn | 1.03 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.03 Bn |
| Mar 31, 2026 | 1.02 Bn |
| Dec 31, 2025 | 996.60 Mn |
| Sep 30, 2025 | 990.40 Mn |
| Jun 30, 2025 | 976.70 Mn |
| Mar 31, 2025 | 939.50 Mn |
| Dec 31, 2024 | 934.50 Mn |
| Sep 30, 2024 | 943.60 Mn |
| Jun 30, 2024 | 937.80 Mn |
| Mar 31, 2024 | 927.20 Mn |
| Dec 31, 2023 | 922.00 Mn |
| Sep 30, 2023 | 921.00 Mn |
| Jun 30, 2023 | 943.80 Mn |
| Mar 31, 2023 | 920.30 Mn |
| Dec 31, 2022 | 874.00 Mn |
| Sep 30, 2022 | 880.70 Mn |
| Jun 30, 2022 | 867.50 Mn |
| Mar 31, 2022 | 839.70 Mn |
| Dec 31, 2021 | 820.20 Mn |
| Sep 30, 2021 | 837.60 Mn |
Brinks Cost of Revenue 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=cost-of-revenue&ticker=BCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=BCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();