Idt (IDT) EBIT (2010 - 2026)
Idt (IDT) posted EBIT of $29.79 million for fiscal Q3 2026 (quarter ended Apr 30, 2026), up 12.0% from $26.59 million a year earlier and up 9.3% from the prior quarter.
Idt (IDT) EBIT (2010 - 2026) Analysis & Trends
For the trailing twelve months through Apr 30, 2026, EBIT at Idt was $109.84 million, up 11.3% year-over-year; for FY2025 (ended Jul 31, 2025), it was $100.42 million, up 55.1% from FY2024.
- Annual EBIT has increased for five consecutive fiscal years, with a five-year compound annual growth rate of 41.1% (FY2020 to FY2025).
- In prior fiscal years, Idt's EBIT was $64.75 million in FY2024 (+6.6%), $60.74 million in FY2023 (+1.1%), $60.09 million in FY2022 (+5.4%) and $56.99 million in FY2021 (+217.6%).
- Quarterly EBIT has run from a low of $10.38 million in fiscal Q3 2023 to a high of $30.93 million in fiscal Q1 2026 over five years.
- On a year-over-year basis, EBIT increased in seven of the last eight quarters, with growth averaging 45.4%.
- The strongest year-over-year quarter for EBIT in the past five years was fiscal Q3 2025, with growth of 132.6%; the weakest was fiscal Q4 2023, with a decline of 37.6%.
- According to Business Quant data, EBIT for the three prior fiscal quarters was $27.25 million (Q2 2026), $30.93 million (Q1 2026) and $21.88 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 190.70 Bn | 155.11 Bn | 27.03 Bn | 7.18 Bn |
| 2 | T-Mobile US | 175.28 Bn | 160.03 Bn | 14.76 Bn | 5.49 Bn |
| 3 | At&T | 167.47 Bn | 115.42 Bn | 25.82 Bn | 7.04 Bn |
| 4 | Grupo Televisa, S.A.B | 141.87 Bn | 130.50 Bn | 318.12 Mn | 90.33 Mn |
| 5 | Comcast | 76.96 Bn | 41.21 Bn | - | 5.16 Bn |
| 6 | Chunghwa Telecom | 35.31 Bn | 31.16 Bn | 728.80 Mn | 419.57 Mn |
| 7 | EchoStar | 25.94 Bn | 17.08 Bn | 1.65 Bn | 512.94 Mn |
| 8 | AST SpaceMobile | 22.90 Bn | 23.41 Bn | 7.95 Mn | -321.14 Mn |
| 9 | Bce | 18.99 Bn | 17.31 Bn | - | - |
| 10 | Idt | 1.86 Bn | 928.18 Mn | 134.83 Mn | 33.21 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 33.21 Mn |
| Apr 30, 2026 | 29.79 Mn |
| Jan 31, 2026 | 27.25 Mn |
| Oct 31, 2025 | 30.93 Mn |
| Jul 31, 2025 | 21.88 Mn |
| Apr 30, 2025 | 26.59 Mn |
| Jan 31, 2025 | 28.32 Mn |
| Oct 31, 2024 | 23.64 Mn |
| Jul 31, 2024 | 20.14 Mn |
| Apr 30, 2024 | 11.43 Mn |
| Jan 31, 2024 | 16.02 Mn |
| Oct 31, 2023 | 17.17 Mn |
| Jul 31, 2023 | 11.96 Mn |
| Apr 30, 2023 | 10.38 Mn |
| Jan 31, 2023 | 18.18 Mn |
| Oct 31, 2022 | 20.23 Mn |
| Jul 31, 2022 | 19.17 Mn |
| Apr 30, 2022 | 13.33 Mn |
| Jan 31, 2022 | 13.81 Mn |
| Oct 31, 2021 | 13.77 Mn |
Idt EBIT 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=ebit&ticker=IDT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=IDT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();