Brinks (BCO) Long-Term Debt Repayments (2009 - 2026)
Brinks (BCO) reported Long-Term Debt Repayments of $5.23 billion for Q2 2026, up 26.5% from $4.13 billion a year earlier and up 12.9% from the prior quarter.
Brinks (BCO) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Brinks' Long-Term Debt Repayments came in at $19.98 billion, up 37.1% year-over-year; for FY2025, it was $17.89 billion, up 39.0% from FY2024.
- Long-Term Debt Repayments has increased for five consecutive years, with a five-year compound annual growth rate of 77.7% (FY2020 to FY2025).
- By year, Long-Term Debt Repayments came in at $12.87 billion in FY2024 (+38.7%), $9.27 billion in FY2023 (+35.7%), $6.83 billion in FY2022 (+140.9%) and $2.84 billion in FY2021 (+181.2%).
- The Q2 2026 figure ranks as the highest quarterly Long-Term Debt Repayments in data going back to Q3 2009.
- Year over year, Long-Term Debt Repayments has now increased in each of the last 19 quarters, with growth averaging 36.1% over the last eight quarters.
- The year-over-year growth in Long-Term Debt Repayments has ranged between 15.6% (Q2 2025) and 844.7% (Q4 2021) over the last five years.
- Per Business Quant data, the three quarters before Q2 2026 came in at $4.63 billion (Q1 2026), $5.08 billion (Q4 2025) and $5.05 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 148.07 Bn | 107.35 Bn | 6.13 Bn | - |
| 2 | Cintas | 86.37 Bn | 85.45 Bn | 1.55 Bn | - |
| 3 | Iron Mountain | 34.08 Bn | 33.27 Bn | 1.07 Bn | 6.75 Bn |
| 4 | APi | 17.33 Bn | 14.37 Bn | 703.00 Mn | 302.00 Mn |
| 5 | Rollins | 15.92 Bn | 15.47 Bn | 569.95 Mn | - |
| 6 | Aramark | 14.77 Bn | 12.71 Bn | 430.34 Mn | 11.63 Mn |
| 7 | UL Solutions | 14.76 Bn | 13.52 Bn | 417.00 Mn | 57.00 Mn |
| 8 | Gartner | 14.49 Bn | 8.18 Bn | 1.19 Bn | - |
| 9 | Rentokil Initial | 10.78 Bn | 4.30 Bn | - | - |
| 10 | Brinks | 4.39 Bn | -1.88 Bn | 366.10 Mn | 5.25 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.25 Bn |
| Mar 31, 2026 | 4.66 Bn |
| Dec 31, 2025 | 5.12 Bn |
| Sep 30, 2025 | 5.09 Bn |
| Jun 30, 2025 | 4.18 Bn |
| Mar 31, 2025 | 3.66 Bn |
| Dec 31, 2024 | 3.70 Bn |
| Sep 30, 2024 | 3.60 Bn |
| Jun 30, 2024 | 3.60 Bn |
| Mar 31, 2024 | 2.50 Bn |
| Dec 31, 2023 | 2.59 Bn |
| Sep 30, 2023 | 2.44 Bn |
| Jun 30, 2023 | 2.28 Bn |
| Mar 31, 2023 | 2.07 Bn |
| Dec 31, 2022 | 2.04 Bn |
| Sep 30, 2022 | 1.80 Bn |
| Jun 30, 2022 | 1.90 Bn |
| Mar 31, 2022 | 1.18 Bn |
| Dec 31, 2021 | 1.40 Bn |
| Sep 30, 2021 | 668.80 Mn |
Brinks Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=BCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=BCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();