Idt (IDT) Cash & Equivalents (2010 - 2026)
Idt (IDT) recorded Cash & Equivalents of $220.69 million in fiscal Q4 2026 (quarter ended Jul 31, 2026), down 2.6% from $226.51 million a year earlier but up 2.7% from the prior quarter.
Idt (IDT) Cash & Equivalents (2010 - 2026) Analysis & Trends
Starting with fiscal Q1 2011, Idt's Cash & Equivalents history includes 64 quarters.
- Annual Cash & Equivalents has a five-year compound annual growth rate of 15.5% (FY2021 to FY2026).
- Across earlier fiscal years, Cash & Equivalents came in at $226.51 million in FY2025 (+37.6%), $164.56 million in FY2024 (+58.8%), $103.64 million in FY2023 (+5.4%) and $98.35 million in FY2022 (-8.2%).
- Quarterly Cash & Equivalents has ranged from $90.72 million in fiscal Q3 2023 to $226.51 million in fiscal Q4 2025 over the past five years.
- On a year-over-year basis, Cash & Equivalents rose in seven of the last eight quarters, with growth averaging 23.0%.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 58.8% in fiscal Q4 2024, against a decline of 8.2% in fiscal Q4 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $214.96 million (Q3 2026), $210.18 million (Q2 2026) and $189.27 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 190.79 Bn | 157.13 Bn | 27.05 Bn | 4.50 Bn |
| 2 | T-Mobile US | 173.48 Bn | 155.91 Bn | 15.13 Bn | 5.62 Bn |
| 3 | At&T | 147.74 Bn | 89.20 Bn | 26.22 Bn | 10.77 Bn |
| 4 | Grupo Televisa, S.A.B | 147.02 Bn | 147.02 Bn | 960.50 Mn | - |
| 5 | Comcast | 86.74 Bn | 52.53 Bn | - | 7.60 Bn |
| 6 | Chunghwa Telecom | 38.68 Bn | 30.69 Bn | 728.80 Mn | 1.32 Bn |
| 7 | Vodafone Group Public | 37.42 Bn | 6.82 Bn | - | 10.31 Bn |
| 8 | EchoStar | 27.50 Bn | 8.54 Bn | 647.20 Mn | 13.44 Bn |
| 9 | Bce | 20.09 Bn | 18.08 Bn | 2.79 Bn | 458.03 Mn |
| 10 | Idt | 2.05 Bn | 1.10 Bn | 134.83 Mn | 220.69 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 220.69 Mn |
| Apr 30, 2026 | 214.96 Mn |
| Jan 31, 2026 | 210.18 Mn |
| Oct 31, 2025 | 189.27 Mn |
| Jul 31, 2025 | 226.51 Mn |
| Apr 30, 2025 | 199.95 Mn |
| Jan 31, 2025 | 142.15 Mn |
| Oct 31, 2024 | 148.02 Mn |
| Jul 31, 2024 | 164.56 Mn |
| Apr 30, 2024 | 139.77 Mn |
| Jan 31, 2024 | 141.08 Mn |
| Oct 31, 2023 | 121.67 Mn |
| Jul 31, 2023 | 103.64 Mn |
| Apr 30, 2023 | 90.72 Mn |
| Jan 31, 2023 | 117.81 Mn |
| Oct 31, 2022 | 107.90 Mn |
| Jul 31, 2022 | 98.35 Mn |
| Apr 30, 2022 | 97.14 Mn |
| Jan 31, 2022 | 104.27 Mn |
| Oct 31, 2021 | 114.54 Mn |
Idt Cash & Equivalents 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=cash-and-equivalents&ticker=IDT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=IDT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();