Brinks (BCO) EBITDA (2009 - 2026)
Brinks (BCO) recorded EBITDA of $212.4 million in Q2 2026, up 9.7% from $193.7 million a year earlier and up 11.8% from the prior quarter.
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Analysis
Brinks (BCO) EBITDA (2009 - 2026) Analysis & Trends
On a TTM basis, Brinks' EBITDA came in at $895.1 million as of Jun 30, 2026, up 19.8% year-over-year; for FY2025, it came in at $876.3 million, up 17.4% from FY2024.
- Annual EBITDA has increased for five straight years, with a five-year compound annual growth rate of 15.8% (FY2020 to FY2025).
- Across earlier years, EBITDA came in at $746.3 million in FY2024 (+6.5%), $701 million in FY2023 (+15.5%), $607.1 million in FY2022 (+2.2%) and $594.2 million in FY2021 (+41.4%).
- Quarterly EBITDA has ranged from $118.1 million in Q3 2022 to $262.2 million in Q4 2025 over the past five years.
- On a year-over-year basis, EBITDA has increased for five consecutive quarters, with growth averaging 9.4% over the last eight quarters.
- Peak year-over-year performance for EBITDA in the last five years was growth of 75.1% in Q3 2023, against a decline of 17.8% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $189.9 million (Q1 2026), $262.2 million (Q4 2025) and $230.6 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn | 3.76 Bn |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn | 803.77 Mn |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn | 662.99 Mn |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn | 264.00 Mn |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn | 234.97 Mn |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn | 351.69 Mn |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn | 196.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 423.70 Mn |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - | - |
| 10 | Brinks | 4.32 Bn | -1.82 Bn | 366.10 Mn | 212.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 212.40 Mn |
| Mar 31, 2026 | 189.90 Mn |
| Dec 31, 2025 | 262.20 Mn |
| Sep 30, 2025 | 230.60 Mn |
| Jun 30, 2025 | 193.70 Mn |
| Mar 31, 2025 | 189.80 Mn |
| Dec 31, 2024 | 177.50 Mn |
| Sep 30, 2024 | 186.40 Mn |
| Jun 30, 2024 | 189.10 Mn |
| Mar 31, 2024 | 193.30 Mn |
| Dec 31, 2023 | 171.60 Mn |
| Sep 30, 2023 | 206.80 Mn |
| Jun 30, 2023 | 175.20 Mn |
| Mar 31, 2023 | 147.40 Mn |
| Dec 31, 2022 | 208.80 Mn |
| Sep 30, 2022 | 118.10 Mn |
| Jun 30, 2022 | 156.80 Mn |
| Mar 31, 2022 | 123.40 Mn |
| Dec 31, 2021 | 206.90 Mn |
| Sep 30, 2021 | 135.80 Mn |
API Access
Brinks EBITDA 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=ebitda&ticker=BCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=BCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();