Idt (IDT) Total Liabilities (2011 - 2026)
Idt's Total Liabilities came in at $321.61 million for fiscal Q3 2026 (quarter ended Apr 30, 2026), up 6.7% from $301.41 million a year earlier but down 0.1% from the prior quarter.
Idt (IDT) Total Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025 (ended Jul 31, 2025), Idt's Total Liabilities was $307.25 million, up 4.3% from FY2024.
- Total Liabilities carries a five-year compound annual growth rate of -1.6% (FY2020 to FY2025).
- Going back by fiscal year, Total Liabilities was $294.44 million in FY2024 (-5.3%), $310.81 million in FY2023 (-4.8%), $326.46 million in FY2022 (-5.7%) and $346.04 million in FY2021 (+3.7%).
- The five-year range for quarterly Total Liabilities is $283.49 million (fiscal Q1 2025) to $346.04 million (fiscal Q4 2021).
- Year-over-year, Total Liabilities has increased for five consecutive quarters, with growth averaging 3.1% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in fiscal Q1 2026 (growth of 12.5%), and the weakest in fiscal Q2 2023 (a decline of 10.3%).
- Business Quant data shows IDT's Total Liabilities at $321.94 million (Q2 2026), $318.9 million (Q1 2026) and $307.25 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 190.70 Bn | 155.11 Bn | 27.03 Bn | 304.99 Bn |
| 2 | T-Mobile US | 175.28 Bn | 160.03 Bn | 14.76 Bn | 157.29 Bn |
| 3 | At&T | 167.47 Bn | 115.42 Bn | 25.82 Bn | 301.93 Bn |
| 4 | Grupo Televisa, S.A.B | 141.87 Bn | 130.50 Bn | 318.12 Mn | 7.70 Bn |
| 5 | Comcast | 76.96 Bn | 41.21 Bn | - | 167.78 Bn |
| 6 | Chunghwa Telecom | 35.31 Bn | 31.16 Bn | 728.80 Mn | 5.92 Bn |
| 7 | EchoStar | 25.94 Bn | 17.08 Bn | 1.65 Bn | 25.22 Bn |
| 8 | AST SpaceMobile | 22.90 Bn | 23.41 Bn | 7.95 Mn | 3.46 Bn |
| 9 | Bce | 18.99 Bn | 17.31 Bn | - | 41.11 Bn |
| 10 | Idt | 1.86 Bn | 928.18 Mn | 134.83 Mn | 368.15 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 368.15 Mn |
| Apr 30, 2026 | 321.61 Mn |
| Jan 31, 2026 | 321.94 Mn |
| Oct 31, 2025 | 318.90 Mn |
| Jul 31, 2025 | 307.25 Mn |
| Apr 30, 2025 | 301.41 Mn |
| Jan 31, 2025 | 291.86 Mn |
| Oct 31, 2024 | 283.49 Mn |
| Jul 31, 2024 | 294.44 Mn |
| Apr 30, 2024 | 294.02 Mn |
| Jan 31, 2024 | 301.89 Mn |
| Oct 31, 2023 | 292.08 Mn |
| Jul 31, 2023 | 310.81 Mn |
| Apr 30, 2023 | 319.22 Mn |
| Jan 31, 2023 | 307.50 Mn |
| Oct 31, 2022 | 312.25 Mn |
| Jul 31, 2022 | 326.46 Mn |
| Apr 30, 2022 | 337.11 Mn |
| Jan 31, 2022 | 342.91 Mn |
| Oct 31, 2021 | 342.43 Mn |
Idt Total 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-liabilities&ticker=IDT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=IDT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();