Idt (IDT) Total Non-Current Liabilities (2011 - 2026)
Idt's Total Non-Current Liabilities came in at $320.68 million for fiscal Q3 2026 (quarter ended Apr 30, 2026), up 7.0% from $299.73 million a year earlier but down 0.1% from the prior quarter.
Idt (IDT) Total Non-Current Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025 (ended Jul 31, 2025), Idt's Total Non-Current Liabilities was $305.56 million, up 4.7% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of -1.7% (FY2020 to FY2025).
- Going back by fiscal year, Total Non-Current Liabilities was $291.78 million in FY2024 (-5.1%), $307.46 million in FY2023 (-3.9%), $319.87 million in FY2022 and $50,000 in FY2021 (-100.0%).
- The five-year range for quarterly Total Non-Current Liabilities is $50,000 (fiscal Q4 2021) to $342.45 million (fiscal Q2 2022).
- Year-over-year, Total Non-Current Liabilities has increased for five consecutive quarters, with growth averaging 3.5% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in fiscal Q1 2026 (growth of 12.6%), and the weakest in fiscal Q4 2021 (a decline of 100.0%).
- Business Quant data shows IDT's Total Non-Current Liabilities at $321.02 million (Q2 2026), $317.97 million (Q1 2026) and $305.56 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 190.70 Bn | 155.11 Bn | 27.03 Bn | 242.78 Bn |
| 2 | T-Mobile US | 175.28 Bn | 160.03 Bn | 14.76 Bn | 133.73 Bn |
| 3 | At&T | 167.47 Bn | 115.42 Bn | 25.82 Bn | 190.02 Bn |
| 4 | Grupo Televisa, S.A.B | 141.87 Bn | 130.50 Bn | 318.12 Mn | 1.39 Bn |
| 5 | Comcast | 76.96 Bn | 41.21 Bn | - | 146.48 Bn |
| 6 | Chunghwa Telecom | 35.31 Bn | 31.16 Bn | 728.80 Mn | 18.63 Mn |
| 7 | EchoStar | 25.94 Bn | 17.08 Bn | 1.65 Bn | 21.41 Bn |
| 8 | AST SpaceMobile | 22.90 Bn | 23.41 Bn | 7.95 Mn | 3.42 Bn |
| 9 | Bce | 18.99 Bn | 17.31 Bn | - | 33.67 Bn |
| 10 | Idt | 1.86 Bn | 928.18 Mn | 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();