Idt (IDT) Accumulated Expenses (2011 - 2026)
Idt (IDT) posted Accumulated Expenses of $106.43 million for fiscal Q4 2026 (quarter ended Jul 31, 2026), up 9.4% from $97.3 million a year earlier and up 17.5% from the prior quarter.
Idt (IDT) Accumulated Expenses (2011 - 2026) Analysis & Trends
Since fiscal Q4 2011, Idt has reported Accumulated Expenses for 61 quarters.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of -3.8% (FY2021 to FY2026).
- In prior fiscal years, Idt's Accumulated Expenses was $97.3 million in FY2025 (-5.7%), $103.18 million in FY2024 (-6.9%), $110.8 million in FY2023 (-5.4%) and $117.11 million in FY2022 (-9.3%).
- The fiscal Q4 2026 figure stands as the highest quarterly Accumulated Expenses since fiscal Q2 2024.
- On a year-over-year basis, Accumulated Expenses increased in two of the last eight quarters, with an average decline of 3.7%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was fiscal Q4 2026, with growth of 9.4%; the weakest was fiscal Q2 2025, with a decline of 16.5%.
- According to Business Quant data, Accumulated Expenses for the three prior fiscal quarters was $90.55 million (Q3 2026), $90.03 million (Q2 2026) and $91.87 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Verizon Communications | 191.27 Bn | 158.92 Bn | 27.05 Bn |
| 2 | T-Mobile US | 170.68 Bn | 153.12 Bn | 15.13 Bn |
| 3 | At&T | 147.06 Bn | 104.50 Bn | 26.22 Bn |
| 4 | Grupo Televisa, S.A.B | 144.98 Bn | 145.52 Bn | 960.50 Mn |
| 5 | Comcast | 88.32 Bn | 54.28 Bn | - |
| 6 | Vodafone Group Public | 38.80 Bn | 12.48 Bn | - |
| 7 | Chunghwa Telecom | 37.90 Bn | 30.39 Bn | 728.80 Mn |
| 8 | EchoStar | 26.14 Bn | 7.22 Bn | 647.20 Mn |
| 9 | Bce | 20.53 Bn | 18.77 Bn | 2.79 Bn |
| 10 | Idt | 1.90 Bn | 972.38 Mn | 134.83 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 106.43 Mn |
| Apr 30, 2026 | 90.55 Mn |
| Jan 31, 2026 | 108.23 Mn |
| Oct 31, 2025 | 110.57 Mn |
| Jul 31, 2025 | 97.30 Mn |
| Apr 30, 2025 | 112.71 Mn |
| Jan 31, 2025 | 112.57 Mn |
| Oct 31, 2024 | 117.22 Mn |
| Jul 31, 2024 | 129.08 Mn |
| Apr 30, 2024 | 123.14 Mn |
| Jan 31, 2024 | 130.58 Mn |
| Oct 31, 2023 | 124.01 Mn |
| Jul 31, 2023 | 137.60 Mn |
| Apr 30, 2023 | 138.28 Mn |
| Jan 31, 2023 | 141.98 Mn |
| Oct 31, 2022 | 139.27 Mn |
| Jul 31, 2022 | 150.31 Mn |
| Apr 30, 2022 | 156.39 Mn |
| Jan 31, 2022 | 159.97 Mn |
| Oct 31, 2021 | 158.64 Mn |
Idt 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=IDT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "IDT", "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=IDT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();