Adt (ADT) Shares Outstanding (Diluted) (2017 - 2026)
Adt (ADT) posted Shares Outstanding (Diluted) of 820.13 million for Q2 2026, down 2.4% from 839.95 million a year earlier and down 0.2% from the prior quarter.
Adt (ADT) Shares Outstanding (Diluted) (2017 - 2026) Analysis & Trends
For FY2025, Adt's Shares Outstanding (Diluted) came in at 841.18 million, down 7.4% from FY2024.
- Annual Shares Outstanding (Diluted) shows a five-year compound annual growth rate of 2.0% (FY2020 to FY2025).
- In prior years, Adt's Shares Outstanding (Diluted) was 908.7 million in FY2024 (+6.1%), 856.84 million in FY2023 (-11.6%), 969.81 million in FY2022 (+17.5%) and 825.37 million in FY2021 (+8.5%).
- The Q2 2026 figure stands as the lowest quarterly Shares Outstanding (Diluted) since Q2 2021.
- On a year-over-year basis, Shares Outstanding (Diluted) has declined in each of the last six quarters, with an average decline of 3.8% over the last eight quarters.
- The strongest year-over-year quarter for Shares Outstanding (Diluted) in the past five years was Q1 2022, with growth of 19.5%; the weakest was Q4 2023, with a decline of 11.6%.
- According to Business Quant data, Shares Outstanding (Diluted) for the three prior quarters was 821.86 million (Q1 2026), 841.18 million (Q4 2025) and 828.45 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | 615.59 Mn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 406.20 Mn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | 299.85 Mn |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | 437.00 Mn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | 481.39 Mn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | 268.54 Mn |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn | 204.00 Mn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn | 66.58 Mn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - | 507.00 Mn |
| 10 | Adt | 4.13 Bn | 3.86 Bn | 1.05 Bn | 820.13 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 820.13 Mn |
| Mar 31, 2026 | 821.86 Mn |
| Dec 31, 2025 | 841.18 Mn |
| Sep 30, 2025 | 828.45 Mn |
| Jun 30, 2025 | 839.95 Mn |
| Mar 31, 2025 | 926.06 Mn |
| Dec 31, 2024 | 908.70 Mn |
| Sep 30, 2024 | 912.86 Mn |
| Jun 30, 2024 | 909.13 Mn |
| Mar 31, 2024 | 973.14 Mn |
| Dec 31, 2023 | 856.84 Mn |
| Sep 30, 2023 | 857.42 Mn |
| Jun 30, 2023 | 971.60 Mn |
| Mar 31, 2023 | 909.04 Mn |
| Dec 31, 2022 | 969.81 Mn |
| Sep 30, 2022 | 904.98 Mn |
| Jun 30, 2022 | 910.81 Mn |
| Mar 31, 2022 | 911.31 Mn |
| Dec 31, 2021 | 825.37 Mn |
| Sep 30, 2021 | 821.56 Mn |
Adt Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=ADT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=ADT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();