Idt (IDT) Total Liabilities (2011 - 2026)
Idt's Total Liabilities came in at $368.15 million for fiscal Q4 2026 (quarter ended Jul 31, 2026), up 19.8% from $307.25 million a year earlier and up 14.5% from the prior quarter.
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Analysis
Idt (IDT) Total Liabilities (2011 - 2026) Analysis & Trends
Going back to fiscal Q4 2011, Idt's Total Liabilities data covers 61 quarters.
- Total Liabilities carries a five-year compound annual growth rate of 1.2% (FY2021 to FY2026).
- Going back by fiscal year, Total Liabilities was $307.25 million in FY2025 (+4.3%), $294.44 million in FY2024 (-5.3%), $310.81 million in FY2023 (-4.8%) and $326.46 million in FY2022 (-5.7%).
- The fiscal Q4 2026 figure represents the highest quarterly Total Liabilities since fiscal Q2 2020.
- Year-over-year, Total Liabilities has increased for six consecutive quarters, with growth averaging 6.2% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in fiscal Q4 2026 (growth of 19.8%), and the weakest in fiscal Q2 2023 (a decline of 10.3%).
- Business Quant data shows IDT's Total Liabilities at $321.61 million (Q3 2026), $321.94 million (Q2 2026) and $318.9 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 187.79 Bn | 187.79 Bn | - | - |
| 2 | T-Mobile US | 170.28 Bn | 152.72 Bn | 15.13 Bn | 156.80 Bn |
| 3 | At&T | 146.88 Bn | 88.35 Bn | 26.22 Bn | 323.12 Bn |
| 4 | Grupo Televisa, S.A.B | 127.59 Bn | 119.32 Bn | 318.12 Mn | 7.11 Bn |
| 5 | Comcast | 84.00 Bn | 49.79 Bn | - | 165.24 Bn |
| 6 | Chunghwa Telecom | 38.05 Bn | 30.06 Bn | 728.80 Mn | 5.90 Bn |
| 7 | Vodafone Group Public | 37.53 Bn | 6.93 Bn | - | 90.86 Bn |
| 8 | EchoStar | 28.27 Bn | 19.36 Bn | 1.65 Bn | 25.22 Bn |
| 9 | Bce | 19.13 Bn | 17.25 Bn | 3.38 Bn | 40.24 Bn |
| 10 | Idt | 2.05 Bn | 1.10 Bn | 134.83 Mn | 368.15 Mn |
Historic Data
Download Data
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 |
API Access
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_KEYimport 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();