APi (APG) Capital Expenditures (2019 - 2026)
APi (APG) posted Capital Expenditures of $27 million for Q3 2026, down 12.9% from $31 million a year earlier and down 12.9% from the prior quarter.
APi (APG) Capital Expenditures (2019 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Capital Expenditures at APi was $102 million, up 15.9% year-over-year; for FY2025, it was $96 million, up 14.3% from FY2024.
- Annual Capital Expenditures shows a five-year compound annual growth rate of 20.4% (FY2020 to FY2025).
- In prior years, APi's Capital Expenditures was $84 million in FY2024 (-2.3%), $86 million in FY2023 (+8.9%), $79 million in FY2022 (+43.6%) and $55 million in FY2021 (+44.7%).
- Quarterly Capital Expenditures has run from a low of $12 million in Q4 2021 to a high of $31 million in Q2 2026 over five years.
- On a year-over-year basis, Capital Expenditures increased in five of the last eight quarters, with growth averaging 12.0%.
- The strongest year-over-year quarter for Capital Expenditures in the past five years was Q3 2022, with growth of 188.9%; the weakest was Q1 2025, with a decline of 45.5%.
- According to Business Quant data, Capital Expenditures for the three prior quarters was $31 million (Q2 2026), $18 million (Q1 2026) and $26 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 154.21 Bn | 112.14 Bn | 5.98 Bn | 250.26 Mn |
| 2 | Cintas | 91.35 Bn | 90.43 Bn | 1.55 Bn | 107.53 Mn |
| 3 | Iron Mountain | 33.36 Bn | 32.55 Bn | 1.06 Bn | 618.00 Mn |
| 4 | APi | 18.61 Bn | 15.83 Bn | 770.00 Mn | 27.00 Mn |
| 5 | Rollins | 18.45 Bn | 17.99 Bn | 582.90 Mn | 6.36 Mn |
| 6 | UL Solutions | 16.47 Bn | 14.50 Bn | 423.00 Mn | 61.00 Mn |
| 7 | Aramark | 13.88 Bn | 11.82 Bn | 430.34 Mn | 112.37 Mn |
| 8 | Rentokil Initial | 12.08 Bn | 5.60 Bn | - | - |
| 9 | Gartner | 12.05 Bn | 5.53 Bn | 1.07 Bn | 19.27 Mn |
| 10 | Booz Allen Hamilton Holding | 10.33 Bn | 7.84 Bn | 1.45 Bn | 31.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 27.00 Mn |
| Jun 30, 2026 | 31.00 Mn |
| Mar 31, 2026 | 18.00 Mn |
| Dec 31, 2025 | 26.00 Mn |
| Sep 30, 2025 | 31.00 Mn |
| Jun 30, 2025 | 27.00 Mn |
| Mar 31, 2025 | 12.00 Mn |
| Dec 31, 2024 | 18.00 Mn |
| Sep 30, 2024 | 22.00 Mn |
| Jun 30, 2024 | 22.00 Mn |
| Mar 31, 2024 | 22.00 Mn |
| Dec 31, 2023 | 22.00 Mn |
| Sep 30, 2023 | 18.00 Mn |
| Jun 30, 2023 | 25.00 Mn |
| Mar 31, 2023 | 21.00 Mn |
| Dec 31, 2022 | 19.00 Mn |
| Sep 30, 2022 | 26.00 Mn |
| Jun 30, 2022 | 22.00 Mn |
| Mar 31, 2022 | 12.00 Mn |
| Dec 31, 2021 | 12.00 Mn |
APi Capital Expenditures 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=capital-expenditures&ticker=APG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "ticker": "APG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=capital-expenditures&ticker=APG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();