Amdocs (DOX) Accumulated Expenses (2009 - 2026)
Amdocs' Accumulated Expenses was $651.76 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), compared with $326,073 a year earlier and up 2.0% from the prior quarter.
Amdocs (DOX) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Accumulated Expenses at Amdocs came in at $622.75 million, down 20.1% from FY2024.
- Accumulated Expenses shows a five-year compound annual growth rate of 1.0% (FY2020 to FY2025).
- In earlier fiscal years, Accumulated Expenses was $778.94 million in FY2024 (+22.7%), $634.74 million in FY2023 (+3.6%), $612.66 million in FY2022 (+0.1%) and $612.3 million in FY2021 (+3.1%).
- The fiscal Q3 2026 figure marks the highest quarterly Accumulated Expenses since fiscal Q1 2025.
- Compared with a year earlier, Accumulated Expenses was higher in 1 of the last six quarters, with an average decline of 43.2%.
- The best year-over-year quarter for Accumulated Expenses over five years was fiscal Q1 2024 (growth of 33.1%); the worst was fiscal Q3 2025 (a decline of 100.0%).
- Per Business Quant data, DOX's Accumulated Expenses in the three fiscal quarters before Q3 2026 was $639.17 million (Q2 2026), $323.86 million (Q1 2026) and $622.75 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 4,865.08 Bn | 4,612.57 Bn | 54.77 Bn |
| 2 | Cisco Systems | 424.71 Bn | 360.64 Bn | 11.06 Bn |
| 3 | Dell Technologies | 344.52 Bn | 300.28 Bn | 9.83 Bn |
| 4 | Arista Networks | 256.79 Bn | 210.25 Bn | 1.91 Bn |
| 5 | Sandisk | 254.02 Bn | 242.55 Bn | 7.58 Bn |
| 6 | Seagate Technology Holdings | 209.18 Bn | 204.17 Bn | 1.90 Bn |
| 7 | Western Digital | 164.06 Bn | 152.19 Bn | 2.03 Bn |
| 8 | Sony | 144.83 Bn | 95.22 Bn | 6.53 Bn |
| 9 | Lumentum Holdings | 86.05 Bn | 77.87 Bn | 477.30 Mn |
| 10 | Amdocs | 6.20 Bn | 5.25 Bn | 467.16 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 651.76 Mn |
| Mar 31, 2026 | 639.17 Mn |
| Dec 31, 2025 | 323.86 Mn |
| Sep 30, 2025 | 622.75 Mn |
| Jun 30, 2025 | 326,073.00 |
| Mar 31, 2025 | 339,931.00 |
| Dec 31, 2024 | 674.89 Mn |
| Sep 30, 2024 | 778.94 Mn |
| Jun 30, 2024 | 735.71 Mn |
| Mar 31, 2024 | 740.18 Mn |
| Dec 31, 2023 | 749.88 Mn |
| Sep 30, 2023 | 634.74 Mn |
| Jun 30, 2023 | 590.93 Mn |
| Mar 31, 2023 | 587.51 Mn |
| Dec 31, 2022 | 563.38 Mn |
| Sep 30, 2022 | 612.66 Mn |
| Jun 30, 2022 | 612.10 Mn |
| Mar 31, 2022 | 583.60 Mn |
| Dec 31, 2021 | 583.13 Mn |
| Sep 30, 2021 | 612.30 Mn |
Amdocs Accumulated 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=accumulated-expenses&ticker=DOX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=DOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();