Adt (ADT) Operating Expenses (2017 - 2026)
Adt's Operating Expenses came in at $385.91 million for Q2 2026, up 8.4% from $356.14 million a year earlier and up 5.8% from the prior quarter.
Powered by 
Analysis
Adt (ADT) Operating Expenses (2017 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Adt reported Operating Expenses of $1.5 billion, up 1.4% year-over-year; for FY2025, it was $1.66 billion, down 2.6% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of -4.0% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $1.7 billion in FY2024 (+6.1%), $1.6 billion in FY2023 (+5.6%), $1.52 billion in FY2022 (-13.1%) and $1.75 billion in FY2021 (-14.0%).
- The Q2 2026 figure represents the highest quarterly Operating Expenses since Q4 2024.
- Year-over-year, Operating Expenses increased in three of the last eight quarters, with an average decline of 1.7%.
- The fastest year-over-year change in Operating Expenses over five years came in Q4 2023 (growth of 282.2%), and the weakest in Q4 2022 (a decline of 52.9%).
- Business Quant data shows ADT's Operating Expenses at $364.77 million (Q1 2026), $360.43 million (Q4 2025) and $384.35 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 118.39 Bn | 78.80 Bn | 6.13 Bn | 15.54 Bn |
| 2 | Cintas | 79.13 Bn | 78.31 Bn | 1.48 Bn | 792.12 Mn |
| 3 | Iron Mountain | 33.17 Bn | 32.69 Bn | 1.07 Bn | 1.66 Bn |
| 4 | APi | 16.75 Bn | 13.79 Bn | 703.00 Mn | 528.00 Mn |
| 5 | Rollins | 14.67 Bn | 14.22 Bn | 569.95 Mn | 877.22 Mn |
| 6 | Aramark | 14.35 Bn | 12.37 Bn | 430.34 Mn | 4.84 Bn |
| 7 | UL Solutions | 13.11 Bn | 11.89 Bn | 417.00 Mn | 267.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 1.30 Bn |
| 9 | Rentokil Initial | 10.12 Bn | 3.46 Bn | - | - |
| 10 | Adt | 4.17 Bn | 3.91 Bn | 1.05 Bn | 385.91 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 385.91 Mn |
| Mar 31, 2026 | 364.77 Mn |
| Dec 31, 2025 | 360.43 Mn |
| Sep 30, 2025 | 384.35 Mn |
| Jun 30, 2025 | 356.14 Mn |
| Mar 31, 2025 | 368.60 Mn |
| Dec 31, 2024 | 388.88 Mn |
| Sep 30, 2024 | 361.70 Mn |
| Jun 30, 2024 | 392.14 Mn |
| Mar 31, 2024 | 415.40 Mn |
| Dec 31, 2023 | 392.35 Mn |
| Sep 30, 2023 | 356.26 Mn |
| Jun 30, 2023 | 327.54 Mn |
| Mar 31, 2023 | 408.91 Mn |
| Dec 31, 2022 | 102.65 Mn |
| Sep 30, 2022 | 420.12 Mn |
| Jun 30, 2022 | 483.22 Mn |
| Mar 31, 2022 | 482.88 Mn |
| Dec 31, 2021 | 218.03 Mn |
| Sep 30, 2021 | 441.91 Mn |
API Access
Adt Operating Expenses 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=operating-expenses&ticker=ADT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=ADT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();