Adt (ADT) Capital Expenditures (2017 - 2026)
Adt's Capital Expenditures came in at $46.23 million for Q2 2026, up 22.9% from $37.63 million a year earlier but down 5.5% from the prior quarter.
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Analysis
Adt (ADT) Capital Expenditures (2017 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Adt reported Capital Expenditures of $187.86 million, up 17.8% year-over-year; for FY2025, it was $175.75 million, up 7.3% from FY2024.
- Capital Expenditures carries a five-year compound annual growth rate of 2.3% (FY2020 to FY2025).
- Going back by year, Capital Expenditures was $163.81 million in FY2024 (-7.1%), $176.35 million in FY2023 (-0.2%), $176.66 million in FY2022 (+5.0%) and $168.24 million in FY2021 (+7.0%).
- The five-year range for quarterly Capital Expenditures is $30.13 million (Q2 2023) to $59.22 million (Q1 2023).
- Year-over-year, Capital Expenditures has increased for three consecutive quarters, with growth averaging 6.1% over the last eight quarters.
- The fastest year-over-year change in Capital Expenditures over five years came in Q2 2024 (growth of 55.0%), and the weakest in Q2 2023 (a decline of 38.9%).
- Business Quant data shows ADT's Capital Expenditures at $48.93 million (Q1 2026), $50.05 million (Q4 2025) and $42.64 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 118.39 Bn | 78.80 Bn | 6.13 Bn | 186.22 Mn |
| 2 | Cintas | 79.13 Bn | 78.31 Bn | 1.48 Bn | 96.00 Mn |
| 3 | Iron Mountain | 33.17 Bn | 32.69 Bn | 1.07 Bn | 588.19 Mn |
| 4 | APi | 16.75 Bn | 13.79 Bn | 703.00 Mn | 31.00 Mn |
| 5 | Rollins | 14.67 Bn | 14.22 Bn | 569.95 Mn | 6.43 Mn |
| 6 | Aramark | 14.35 Bn | 12.37 Bn | 430.34 Mn | 112.37 Mn |
| 7 | UL Solutions | 13.11 Bn | 11.89 Bn | 417.00 Mn | 69.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 19.92 Mn |
| 9 | Rentokil Initial | 10.12 Bn | 3.46 Bn | - | - |
| 10 | Adt | 4.17 Bn | 3.91 Bn | 1.05 Bn | 46.23 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 46.23 Mn |
| Mar 31, 2026 | 48.93 Mn |
| Dec 31, 2025 | 50.05 Mn |
| Sep 30, 2025 | 42.64 Mn |
| Jun 30, 2025 | 37.63 Mn |
| Mar 31, 2025 | 45.42 Mn |
| Dec 31, 2024 | 33.69 Mn |
| Sep 30, 2024 | 42.72 Mn |
| Jun 30, 2024 | 46.70 Mn |
| Mar 31, 2024 | 40.69 Mn |
| Dec 31, 2023 | 45.83 Mn |
| Sep 30, 2023 | 41.17 Mn |
| Jun 30, 2023 | 30.13 Mn |
| Mar 31, 2023 | 59.22 Mn |
| Dec 31, 2022 | 40.98 Mn |
| Sep 30, 2022 | 48.06 Mn |
| Jun 30, 2022 | 49.30 Mn |
| Mar 31, 2022 | 38.32 Mn |
| Dec 31, 2021 | 41.56 Mn |
| Sep 30, 2021 | 42.69 Mn |
API Access
Adt 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=ADT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "ticker": "ADT", "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=ADT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();