Adt (ADT) Long-Term Debt Repayments (2017 - 2026)
Adt (ADT) reported Long-Term Debt Repayments of $236.25 million for Q2 2026, up 69.4% from $139.46 million a year earlier.
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Analysis
Adt (ADT) Long-Term Debt Repayments (2017 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Adt's Long-Term Debt Repayments came in at $2.61 billion, up 218.6% year-over-year; for FY2025, it came in at $3.01 billion, up 154.0% from FY2024.
- Long-Term Debt Repayments has a five-year compound annual growth rate of -0.1% (FY2020 to FY2025).
- By year, Long-Term Debt Repayments came in at $1.19 billion in FY2024 (-60.0%), $2.96 billion in FY2023 (+389.5%), $605.06 million in FY2022 (-50.4%) and $1.22 billion in FY2021 (-59.7%).
- Five-year quarterly Long-Term Debt Repayments spans a low of $10.62 million in Q1 2026 and a high of $2.07 billion in Q4 2023.
- Year over year, Long-Term Debt Repayments gained in four of the last seven quarters, with growth averaging 249.0%.
- The high point for year-over-year Long-Term Debt Repayments in five years was Q1 2025 (growth of 802.1%); the low point was Q1 2026 (a decline of 97.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $10.62 million (Q1 2026), $1.73 billion (Q4 2025) and $627.19 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 158.58 Bn | 117.87 Bn | 6.13 Bn | - |
| 2 | Cintas | 88.02 Bn | 87.11 Bn | 1.55 Bn | - |
| 3 | Iron Mountain | 34.52 Bn | 33.72 Bn | 1.07 Bn | 6.75 Bn |
| 4 | APi | 19.01 Bn | 16.23 Bn | 770.00 Mn | 7.00 Mn |
| 5 | Rollins | 16.56 Bn | 16.10 Bn | 582.90 Mn | - |
| 6 | Gartner | 15.19 Bn | 8.88 Bn | 1.19 Bn | - |
| 7 | UL Solutions | 15.05 Bn | 13.81 Bn | 417.00 Mn | 57.00 Mn |
| 8 | Aramark | 14.11 Bn | 12.06 Bn | 430.34 Mn | 11.63 Mn |
| 9 | Rentokil Initial | 11.75 Bn | 5.26 Bn | - | - |
| 10 | Adt | 7.51 Bn | 7.24 Bn | 1.05 Bn | 243.92 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 243.92 Mn |
| Mar 31, 2026 | 18.24 Mn |
| Dec 31, 2025 | 1.74 Bn |
| Sep 30, 2025 | 633.31 Mn |
| Jun 30, 2025 | 146.61 Mn |
| Mar 31, 2025 | 518.33 Mn |
| Dec 31, 2024 | 104.34 Mn |
| Sep 30, 2024 | 77.56 Mn |
| Jun 30, 2024 | 969.29 Mn |
| Mar 31, 2024 | 63.88 Mn |
| Dec 31, 2023 | 2.08 Bn |
| Sep 30, 2023 | 26.41 Mn |
| Jun 30, 2023 | 276.15 Mn |
| Mar 31, 2023 | 618.43 Mn |
| Dec 31, 2022 | 88.69 Mn |
| Sep 30, 2022 | 199.08 Mn |
| Jun 30, 2022 | 209.01 Mn |
| Mar 31, 2022 | 153.26 Mn |
| Dec 31, 2021 | 176.50 Mn |
| Sep 30, 2021 | 1.03 Bn |
API Access
Adt Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=ADT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=ADT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();