Brinks (BCO) Selling, General & Administrative (2014 - 2026)
Brinks (BCO) posted Selling, General & Administrative of $43.1 million for Q2 2026, up 22.1% from $35.3 million a year earlier but down 7.1% from the prior quarter.
Brinks (BCO) Selling, General & Administrative (2014 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Selling, General & Administrative at Brinks was $166.3 million, up 1.3% year-over-year; for FY2025, it was $147 million, down 12.1% from FY2024.
- Annual Selling, General & Administrative shows a five-year compound annual growth rate of 4.8% (FY2020 to FY2025).
- In prior years, Brinks' Selling, General & Administrative was $167.3 million in FY2024 (+8.0%), $154.9 million in FY2023 (-4.1%), $161.5 million in FY2022 (+14.0%) and $141.7 million in FY2021 (+21.8%).
- Quarterly Selling, General & Administrative has run from a low of $28.5 million in Q1 2022 to a high of $66.4 million in Q2 2024 over five years.
- On a year-over-year basis, Selling, General & Administrative increased in four of the last eight quarters, with growth averaging 5.6%.
- The strongest year-over-year quarter for Selling, General & Administrative in the past five years was Q3 2022, with growth of 63.8%; the weakest was Q2 2025, with a decline of 46.8%.
- According to Business Quant data, Selling, General & Administrative for the three prior quarters was $46.4 million (Q1 2026), $45.7 million (Q4 2025) and $31.1 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | 1.15 Bn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 792.12 Mn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | 402.34 Mn |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | 528.00 Mn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | 334.98 Mn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | 78.63 Mn |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn | 267.00 Mn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn | 764.59 Mn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - | - |
| 10 | Brinks | 4.16 Bn | -1.98 Bn | 366.10 Mn | 43.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 43.10 Mn |
| Mar 31, 2026 | 46.40 Mn |
| Dec 31, 2025 | 45.70 Mn |
| Sep 30, 2025 | 31.10 Mn |
| Jun 30, 2025 | 35.30 Mn |
| Mar 31, 2025 | 34.90 Mn |
| Dec 31, 2024 | 47.60 Mn |
| Sep 30, 2024 | 46.40 Mn |
| Jun 30, 2024 | 66.40 Mn |
| Mar 31, 2024 | 41.20 Mn |
| Dec 31, 2023 | 32.60 Mn |
| Sep 30, 2023 | 32.40 Mn |
| Jun 30, 2023 | 47.30 Mn |
| Mar 31, 2023 | 42.60 Mn |
| Dec 31, 2022 | 36.10 Mn |
| Sep 30, 2022 | 57.00 Mn |
| Jun 30, 2022 | 39.90 Mn |
| Mar 31, 2022 | 28.50 Mn |
| Dec 31, 2021 | 38.30 Mn |
| Sep 30, 2021 | 34.80 Mn |
Brinks Selling, General & Administrative 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=selling-general-and-administrative&ticker=BCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=BCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();