Adt (ADT) EBITDA (2017 - 2026)
Adt (ADT) posted EBITDA of $731.99 million for Q2 2026, down 1.5% from $742.86 million a year earlier and down 0.9% from the prior quarter.
Adt (ADT) EBITDA (2017 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Adt was $2.87 billion, up 1.6% year-over-year; for FY2025, it was $2.68 billion, up 4.8% from FY2024.
- Annual EBITDA shows a five-year compound annual growth rate of 5.5% (FY2020 to FY2025).
- In prior years, Adt's EBITDA was $2.55 billion in FY2024 (-7.4%), $2.76 billion in FY2023 (+6.7%), $2.58 billion in FY2022 (+25.9%) and $2.05 billion in FY2021 (unchanged).
- Quarterly EBITDA has run from a low of $430.08 million in Q3 2022 to a high of $742.86 million in Q2 2025 over five years.
- On a year-over-year basis, EBITDA increased in six of the last eight quarters, with growth averaging 2.7%.
- The strongest year-over-year quarter for EBITDA in the past five years was Q3 2023, with growth of 59.1%; the weakest was Q3 2022, with a decline of 19.7%.
- According to Business Quant data, EBITDA for the three prior quarters was $738.35 million (Q1 2026), $673.75 million (Q4 2025) and $726.93 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 118.39 Bn | 78.80 Bn | 6.13 Bn | 3.76 Bn |
| 2 | Cintas | 79.13 Bn | 78.31 Bn | 1.48 Bn | 803.77 Mn |
| 3 | Iron Mountain | 33.17 Bn | 32.69 Bn | 1.07 Bn | 662.99 Mn |
| 4 | APi | 16.75 Bn | 13.79 Bn | 703.00 Mn | 264.00 Mn |
| 5 | Rollins | 14.67 Bn | 14.22 Bn | 569.95 Mn | 234.97 Mn |
| 6 | Aramark | 14.35 Bn | 12.37 Bn | 430.34 Mn | 351.69 Mn |
| 7 | UL Solutions | 13.11 Bn | 11.89 Bn | 417.00 Mn | 196.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 423.70 Mn |
| 9 | Rentokil Initial | 10.12 Bn | 3.46 Bn | - | - |
| 10 | Adt | 4.17 Bn | 3.91 Bn | 1.05 Bn | 731.99 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 731.99 Mn |
| Mar 31, 2026 | 738.35 Mn |
| Dec 31, 2025 | 673.75 Mn |
| Sep 30, 2025 | 726.93 Mn |
| Jun 30, 2025 | 742.86 Mn |
| Mar 31, 2025 | 719.15 Mn |
| Dec 31, 2024 | 646.08 Mn |
| Sep 30, 2024 | 717.74 Mn |
| Jun 30, 2024 | 672.76 Mn |
| Mar 31, 2024 | 681.11 Mn |
| Dec 31, 2023 | 687.29 Mn |
| Sep 30, 2023 | 684.16 Mn |
| Jun 30, 2023 | 698.79 Mn |
| Mar 31, 2023 | 660.25 Mn |
| Dec 31, 2022 | 658.38 Mn |
| Sep 30, 2022 | 430.08 Mn |
| Jun 30, 2022 | 638.48 Mn |
| Mar 31, 2022 | 585.96 Mn |
| Dec 31, 2021 | 530.37 Mn |
| Sep 30, 2021 | 535.64 Mn |
Adt 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=ADT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=ADT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();