Idt (IDT) Selling, General & Administrative (2010 - 2026)
Idt (IDT) reported Selling, General & Administrative of $86.65 million for fiscal Q4 2026 (quarter ended Jul 31, 2026), up 17.8% from $73.53 million a year earlier and up 9.9% from the prior quarter.
Idt (IDT) Selling, General & Administrative (2010 - 2026) Analysis & Trends
For FY2026 (ended Jul 31, 2026), Idt posted Selling, General & Administrative of $318.35 million, up 10.7% from FY2025.
- Selling, General & Administrative has increased for four consecutive fiscal years, with a five-year compound annual growth rate of 7.8% (FY2021 to FY2026).
- By fiscal year, Selling, General & Administrative came in at $287.57 million in FY2025 (+6.4%), $270.21 million in FY2024 (+11.1%), $243.16 million in FY2023 (+12.1%) and $216.92 million in FY2022 (-0.7%).
- The fiscal Q4 2026 figure ranks as the highest quarterly Selling, General & Administrative in data going back to fiscal Q1 2011.
- Year over year, Selling, General & Administrative has now increased in each of the last ten quarters, with growth averaging 8.6% over the last eight quarters.
- The high point for year-over-year Selling, General & Administrative in five years was fiscal Q4 2023 (growth of 99.2%); the low point was fiscal Q4 2022 (a decline of 42.0%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $78.84 million (Q3 2026), $78.85 million (Q2 2026) and $74.01 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 190.79 Bn | 157.13 Bn | 27.05 Bn | 7.48 Bn |
| 2 | T-Mobile US | 173.48 Bn | 155.91 Bn | 15.13 Bn | 6.02 Bn |
| 3 | At&T | 147.74 Bn | 89.20 Bn | 26.22 Bn | 7.44 Bn |
| 4 | Grupo Televisa, S.A.B | 147.02 Bn | 147.02 Bn | 960.50 Mn | 356.81 Mn |
| 5 | Comcast | 86.74 Bn | 52.53 Bn | - | - |
| 6 | Chunghwa Telecom | 38.68 Bn | 30.69 Bn | 728.80 Mn | 61.34 Mn |
| 7 | Vodafone Group Public | 37.42 Bn | 6.82 Bn | - | - |
| 8 | EchoStar | 27.50 Bn | 8.54 Bn | 647.20 Mn | 234.58 Mn |
| 9 | Bce | 20.09 Bn | 18.08 Bn | 2.79 Bn | - |
| 10 | Idt | 2.05 Bn | 1.10 Bn | 134.83 Mn | 86.65 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 86.65 Mn |
| Apr 30, 2026 | 78.84 Mn |
| Jan 31, 2026 | 78.85 Mn |
| Oct 31, 2025 | 74.01 Mn |
| Jul 31, 2025 | 73.53 Mn |
| Apr 30, 2025 | 72.27 Mn |
| Jan 31, 2025 | 70.72 Mn |
| Oct 31, 2024 | 71.05 Mn |
| Jul 31, 2024 | 69.52 Mn |
| Apr 30, 2024 | 68.96 Mn |
| Jan 31, 2024 | 67.35 Mn |
| Oct 31, 2023 | 64.38 Mn |
| Jul 31, 2023 | 65.68 Mn |
| Apr 30, 2023 | 60.13 Mn |
| Jan 31, 2023 | 72.06 Mn |
| Oct 31, 2022 | 69.62 Mn |
| Jul 31, 2022 | 32.97 Mn |
| Apr 30, 2022 | 62.77 Mn |
| Jan 31, 2022 | 61.07 Mn |
| Oct 31, 2021 | 60.11 Mn |
Idt Selling, General & Administrative 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=selling-general-and-administrative&ticker=IDT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=IDT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();