Idt (IDT) Total Non-Current Liabilities (2011 - 2026)
Idt's Total Non-Current Liabilities came in at $364.54 million for fiscal Q4 2026 (quarter ended Jul 31, 2026), up 19.3% from $305.56 million a year earlier and up 13.7% from the prior quarter.
Idt (IDT) Total Non-Current Liabilities (2011 - 2026) Analysis & Trends
Going back to fiscal Q4 2011, Idt's Total Non-Current Liabilities data covers 61 quarters.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of 492.3% (FY2021 to FY2026).
- Going back by fiscal year, Total Non-Current Liabilities was $305.56 million in FY2025 (+4.7%), $291.78 million in FY2024 (-5.1%), $307.46 million in FY2023 (-3.9%) and $319.87 million in FY2022.
- The fiscal Q4 2026 figure represents the highest quarterly Total Non-Current Liabilities since fiscal Q2 2020.
- Year-over-year, Total Non-Current Liabilities has increased for six consecutive quarters, with growth averaging 6.6% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in fiscal Q4 2026 (growth of 19.3%), and the weakest in fiscal Q2 2023 (a decline of 11.6%).
- Business Quant data shows IDT's Total Non-Current Liabilities at $320.68 million (Q3 2026), $321.02 million (Q2 2026) and $317.97 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 187.71 Bn | 187.71 Bn | - | 241.96 Bn |
| 2 | T-Mobile US | 170.60 Bn | 153.03 Bn | 15.13 Bn | 132.81 Bn |
| 3 | At&T | 146.68 Bn | 88.14 Bn | 26.22 Bn | 189.90 Bn |
| 4 | Grupo Televisa, S.A.B | 128.84 Bn | 120.57 Bn | 318.12 Mn | 5.55 Bn |
| 5 | Comcast | 84.11 Bn | 49.90 Bn | - | 143.69 Bn |
| 6 | Chunghwa Telecom | 38.10 Bn | 30.12 Bn | 728.80 Mn | 18.48 Mn |
| 7 | Vodafone Group Public | 37.58 Bn | 6.97 Bn | - | 59.09 Bn |
| 8 | EchoStar | 28.52 Bn | 19.60 Bn | 1.65 Bn | 21.41 Bn |
| 9 | Bce | 19.13 Bn | 17.25 Bn | 3.38 Bn | 32.77 Bn |
| 10 | Idt | 2.05 Bn | 1.10 Bn | 134.83 Mn | 364.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 364.54 Mn |
| Apr 30, 2026 | 320.68 Mn |
| Jan 31, 2026 | 321.02 Mn |
| Oct 31, 2025 | 317.97 Mn |
| Jul 31, 2025 | 305.56 Mn |
| Apr 30, 2025 | 299.73 Mn |
| Jan 31, 2025 | 290.77 Mn |
| Oct 31, 2024 | 282.43 Mn |
| Jul 31, 2024 | 291.78 Mn |
| Apr 30, 2024 | 290.38 Mn |
| Jan 31, 2024 | 298.18 Mn |
| Oct 31, 2023 | 288.86 Mn |
| Jul 31, 2023 | 307.46 Mn |
| Apr 30, 2023 | 315.70 Mn |
| Jan 31, 2023 | 302.55 Mn |
| Oct 31, 2022 | 307.26 Mn |
| Jul 31, 2022 | 319.87 Mn |
| Apr 30, 2022 | 330.78 Mn |
| Jan 31, 2022 | 342.45 Mn |
| Oct 31, 2021 | 341.46 Mn |
Idt Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=IDT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=IDT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();