Amdocs (DOX) Total Debt (2009 - 2026)
Amdocs (DOX) reported Total Debt of $927.37 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 43.4% from $646.75 million a year earlier and up 3.4% from the prior quarter.
Amdocs (DOX) Total Debt (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Amdocs posted Total Debt of $646.9 million, up 0.1% from FY2024.
- Total Debt has increased for four consecutive fiscal years, though with a five-year compound annual growth rate of -2.8% (FY2020 to FY2025).
- By fiscal year, Total Debt came in at $646.29 million in FY2024 (+0.1%), $645.7 million in FY2023 (+0.1%), $645.12 million in FY2022 (+0.1%) and $644.55 million in FY2021 (-13.4%).
- The fiscal Q3 2026 figure ranks as the highest quarterly Total Debt in data going back to fiscal Q2 2009.
- Year over year, Total Debt has now increased in each of the last 17 quarters, with growth averaging 12.9% over the last eight quarters.
- The high point for year-over-year Total Debt in five years was fiscal Q3 2026 (growth of 43.4%); the low point was fiscal Q4 2021 (a decline of 13.4%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $897.21 million (Q2 2026), $777.06 million (Q1 2026) and $646.9 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,943.67 Bn | 4,691.16 Bn | 54.77 Bn | 84.34 Bn |
| 2 | Cisco Systems | 421.20 Bn | 357.13 Bn | 11.06 Bn | 29.53 Bn |
| 3 | Dell Technologies | 347.85 Bn | 303.60 Bn | 9.83 Bn | 34.47 Bn |
| 4 | Arista Networks | 258.42 Bn | 211.87 Bn | 1.91 Bn | - |
| 5 | Sandisk | 250.08 Bn | 238.60 Bn | 7.58 Bn | - |
| 6 | Seagate Technology Holdings | 208.99 Bn | 203.98 Bn | 1.90 Bn | 3.57 Bn |
| 7 | Western Digital | 163.62 Bn | 151.74 Bn | 2.03 Bn | 1.05 Bn |
| 8 | Sony | 143.48 Bn | 93.86 Bn | 6.53 Bn | 7.55 Bn |
| 9 | Hewlett Packard Enterprise | 83.23 Bn | 61.11 Bn | 4.93 Bn | 20.24 Bn |
| 10 | Amdocs | 6.23 Bn | 5.27 Bn | 467.16 Mn | 927.37 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 927.37 Mn |
| Mar 31, 2026 | 897.21 Mn |
| Dec 31, 2025 | 777.06 Mn |
| Sep 30, 2025 | 646.90 Mn |
| Jun 30, 2025 | 646.75 Mn |
| Mar 31, 2025 | 646.59 Mn |
| Dec 31, 2024 | 646.44 Mn |
| Sep 30, 2024 | 646.29 Mn |
| Jun 30, 2024 | 646.14 Mn |
| Mar 31, 2024 | 645.99 Mn |
| Dec 31, 2023 | 645.84 Mn |
| Sep 30, 2023 | 645.70 Mn |
| Jun 30, 2023 | 645.55 Mn |
| Mar 31, 2023 | 645.40 Mn |
| Dec 31, 2022 | 645.26 Mn |
| Sep 30, 2022 | 645.12 Mn |
| Jun 30, 2022 | 644.97 Mn |
| Mar 31, 2022 | 644.83 Mn |
| Dec 31, 2021 | 644.69 Mn |
| Sep 30, 2021 | 644.55 Mn |
Amdocs Total Debt 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-debt&ticker=DOX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "ticker": "DOX", "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-debt&ticker=DOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();