Adt (ADT) Total Non-Current Liabilities (2017 - 2026)
Adt's Total Non-Current Liabilities was $11.92 billion in Q2 2026, down 1.3% from $12.08 billion a year earlier but up 1.0% from the prior quarter.
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Analysis
Adt (ADT) Total Non-Current Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Adt came in at $11.74 billion, down 2.3% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of -1.3% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $12.03 billion in FY2024 (+0.6%), $11.96 billion in FY2023 (-15.7%), $14.19 billion in FY2022 (+6.3%) and $13.34 billion in FY2021 (+6.2%).
- Quarterly Total Non-Current Liabilities has moved between $11.74 billion (Q4 2025) and $14.19 billion (Q4 2022) over five years.
- Compared with a year earlier, Total Non-Current Liabilities has declined for three straight quarters, with an average decline of 2.2% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q3 2022 (growth of 9.2%); the worst was Q4 2023 (a decline of 15.7%).
- Per Business Quant data, ADT's Total Non-Current Liabilities in the three quarters before Q2 2026 was $11.79 billion (Q1 2026), $11.74 billion (Q4 2025) and $12.04 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | 13.69 Bn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 2.70 Bn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | 22.86 Bn |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | 6.29 Bn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | 1.79 Bn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | 9.92 Bn |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn | 1.41 Bn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn | 6.90 Bn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - | -6.00 Mn |
| 10 | Adt | 4.13 Bn | 3.86 Bn | 1.05 Bn | 11.92 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.92 Bn |
| Mar 31, 2026 | 11.79 Bn |
| Dec 31, 2025 | 11.74 Bn |
| Sep 30, 2025 | 12.04 Bn |
| Jun 30, 2025 | 12.08 Bn |
| Mar 31, 2025 | 11.99 Bn |
| Dec 31, 2024 | 12.03 Bn |
| Sep 30, 2024 | 11.96 Bn |
| Jun 30, 2024 | 11.98 Bn |
| Mar 31, 2024 | 11.99 Bn |
| Dec 31, 2023 | 11.96 Bn |
| Sep 30, 2023 | 13.98 Bn |
| Jun 30, 2023 | 13.74 Bn |
| Mar 31, 2023 | 13.93 Bn |
| Dec 31, 2022 | 14.19 Bn |
| Sep 30, 2022 | 14.10 Bn |
| Jun 30, 2022 | 13.72 Bn |
| Mar 31, 2022 | 13.51 Bn |
| Dec 31, 2021 | 13.34 Bn |
| Sep 30, 2021 | 12.92 Bn |
API Access
Adt Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=ADT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=ADT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();