Idt (IDT) Other Accumulated Expenses (2011 - 2026)
Idt (IDT) posted Other Accumulated Expenses of $35.64 million for fiscal Q4 2026 (quarter ended Jul 31, 2026), down 2.2% from $36.45 million a year earlier but up 23.5% from the prior quarter.
Idt (IDT) Other Accumulated Expenses (2011 - 2026) Analysis & Trends
Since fiscal Q4 2011, Idt has reported Other Accumulated Expenses for 61 quarters.
- Annual Other Accumulated Expenses shows a five-year compound annual growth rate of 5.0% (FY2021 to FY2026).
- In prior fiscal years, Idt's Other Accumulated Expenses was $36.45 million in FY2025 (+122.6%), $16.37 million in FY2024 (-7.8%), $17.76 million in FY2023 (-8.8%) and $19.47 million in FY2022 (-30.3%).
- Quarterly Other Accumulated Expenses has run from a low of $15.12 million in fiscal Q3 2025 to a high of $42.76 million in fiscal Q3 2023 over five years.
- On a year-over-year basis, Other Accumulated Expenses increased in four of the last eight quarters, with growth averaging 42.2%.
- The strongest year-over-year quarter for Other Accumulated Expenses in the past five years was fiscal Q1 2022, with growth of 157.8%; the weakest was fiscal Q3 2024, with a decline of 62.7%.
- According to Business Quant data, Other Accumulated Expenses for the three prior fiscal quarters was $28.85 million (Q3 2026), $28.06 million (Q2 2026) and $30.31 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Verizon Communications | 190.79 Bn | 157.13 Bn | 27.05 Bn |
| 2 | T-Mobile US | 173.48 Bn | 155.91 Bn | 15.13 Bn |
| 3 | At&T | 147.74 Bn | 89.20 Bn | 26.22 Bn |
| 4 | Grupo Televisa, S.A.B | 147.02 Bn | 147.02 Bn | 960.50 Mn |
| 5 | Comcast | 86.74 Bn | 52.53 Bn | - |
| 6 | Chunghwa Telecom | 38.68 Bn | 30.69 Bn | 728.80 Mn |
| 7 | Vodafone Group Public | 37.42 Bn | 6.82 Bn | - |
| 8 | EchoStar | 27.50 Bn | 8.54 Bn | 647.20 Mn |
| 9 | Bce | 20.09 Bn | 18.08 Bn | 2.79 Bn |
| 10 | Idt | 2.05 Bn | 1.10 Bn | 134.83 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 35.64 Mn |
| Apr 30, 2026 | 28.85 Mn |
| Jan 31, 2026 | 28.06 Mn |
| Oct 31, 2025 | 30.31 Mn |
| Jul 31, 2025 | 36.45 Mn |
| Apr 30, 2025 | 15.12 Mn |
| Jan 31, 2025 | 16.16 Mn |
| Oct 31, 2024 | 16.37 Mn |
| Jul 31, 2024 | 16.37 Mn |
| Apr 30, 2024 | 15.94 Mn |
| Jan 31, 2024 | 19.19 Mn |
| Oct 31, 2023 | 18.51 Mn |
| Jul 31, 2023 | 17.76 Mn |
| Apr 30, 2023 | 42.76 Mn |
| Jan 31, 2023 | 32.22 Mn |
| Oct 31, 2022 | 34.72 Mn |
| Jul 31, 2022 | 19.47 Mn |
| Apr 30, 2022 | 35.10 Mn |
| Jan 31, 2022 | 30.74 Mn |
| Oct 31, 2021 | 32.22 Mn |
Idt Other 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=other-accumulated-expenses&ticker=IDT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=IDT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();