Idt (IDT) Cost of Revenue (2010 - 2026)
Idt (IDT) recorded Cost of Revenue of $204.15 million in fiscal Q4 2026 (quarter ended Jul 31, 2026), up 1.0% from $202.1 million a year earlier and up 5.7% from the prior quarter.
Idt (IDT) Cost of Revenue (2010 - 2026) Analysis & Trends
For FY2026 (ended Jul 31, 2026), Idt reported Cost of Revenue of $801.17 million, up 2.0% from FY2025.
- Annual Cost of Revenue has a four-year compound annual growth rate of -6.3% (FY2022 to FY2026).
- Across earlier fiscal years, Cost of Revenue came in at $785.3 million in FY2025 (-3.7%), $815.62 million in FY2024 (-7.5%), $881.61 million in FY2023 (-15.2%) and $1.04 billion in FY2022.
- Quarterly Cost of Revenue has ranged from $190.02 million in fiscal Q3 2025 to $232.67 million in fiscal Q1 2023 over the past five years.
- On a year-over-year basis, Cost of Revenue has increased for four consecutive quarters, with an average decline of 0.8% over the last eight quarters.
- Peak year-over-year performance for Cost of Revenue in the last five years was growth of 4.2% in fiscal Q2 2026, against a decline of 10.9% in fiscal Q1 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $193.21 million (Q3 2026), $199.24 million (Q2 2026) and $204.57 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 190.87 Bn | 155.27 Bn | 27.03 Bn | 7.23 Bn |
| 2 | T-Mobile US | 175.88 Bn | 160.63 Bn | 14.76 Bn | 8.03 Bn |
| 3 | At&T | 166.65 Bn | 114.60 Bn | 25.82 Bn | 5.74 Bn |
| 4 | Grupo Televisa, S.A.B | 142.49 Bn | 131.12 Bn | 318.12 Mn | 502.80 Mn |
| 5 | Comcast | 76.29 Bn | 40.54 Bn | - | - |
| 6 | Chunghwa Telecom | 35.81 Bn | 31.66 Bn | 728.80 Mn | 1.21 Bn |
| 7 | EchoStar | 27.35 Bn | 18.48 Bn | 1.65 Bn | 1.93 Bn |
| 8 | AST SpaceMobile | 22.74 Bn | 23.25 Bn | 7.95 Mn | 23.57 Mn |
| 9 | Telefonica Brasil | 18.42 Bn | 12.42 Bn | 1.42 Bn | 1.70 Bn |
| 10 | Idt | 1.84 Bn | 907.47 Mn | 134.83 Mn | 204.15 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 204.15 Mn |
| Apr 30, 2026 | 193.21 Mn |
| Jan 31, 2026 | 199.24 Mn |
| Oct 31, 2025 | 204.57 Mn |
| Jul 31, 2025 | 202.10 Mn |
| Apr 30, 2025 | 190.02 Mn |
| Jan 31, 2025 | 191.24 Mn |
| Oct 31, 2024 | 201.94 Mn |
| Jul 31, 2024 | 206.64 Mn |
| Apr 30, 2024 | 202.60 Mn |
| Jan 31, 2024 | 199.17 Mn |
| Oct 31, 2023 | 207.21 Mn |
| Jul 31, 2023 | 213.10 Mn |
| Apr 30, 2023 | 211.73 Mn |
| Jan 31, 2023 | 223.50 Mn |
| Oct 31, 2022 | 232.67 Mn |
| Apr 30, 2019 | 282.79 Mn |
| Jan 31, 2019 | 291.18 Mn |
| Oct 31, 2018 | 304.69 Mn |
| Jul 31, 2018 | 325.13 Mn |
Idt Cost of Revenue 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=cost-of-revenue&ticker=IDT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=IDT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();