Intest (INTT) Selling, General & Administrative (2010 - 2026)
Intest (INTT) posted Selling, General & Administrative of $6.21 million for Q2 2026, up 7.8% from $5.76 million a year earlier and up 1.4% from the prior quarter.
Intest (INTT) Selling, General & Administrative (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Selling, General & Administrative at Intest was $22.98 million, down 2.1% year-over-year; for FY2025, it was $22.23 million, down 5.7% from FY2024.
- Annual Selling, General & Administrative shows a five-year compound annual growth rate of 14.2% (FY2020 to FY2025).
- In prior years, Intest's Selling, General & Administrative was $23.56 million in FY2024 (+10.5%), $21.32 million in FY2023 (+10.5%), $19.29 million in FY2022 (+21.6%) and $15.87 million in FY2021 (+38.6%).
- The Q2 2026 figure stands as the highest quarterly Selling, General & Administrative since Q2 2024.
- On a year-over-year basis, Selling, General & Administrative increased in five of the last eight quarters, with growth averaging 0.9%.
- The strongest year-over-year quarter for Selling, General & Administrative in the past five years was Q4 2021, with growth of 82.1%; the weakest was Q3 2025, with a decline of 16.2%.
- According to Business Quant data, Selling, General & Administrative for the three prior quarters was $6.12 million (Q1 2026), $5.52 million (Q4 2025) and $5.13 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,099.23 Bn | 4,846.72 Bn | 54.77 Bn | 7.35 Bn |
| 2 | Cisco Systems | 419.26 Bn | 355.18 Bn | 11.06 Bn | 679.00 Mn |
| 3 | Dell Technologies | 296.86 Bn | 252.62 Bn | 9.83 Bn | 3.34 Bn |
| 4 | Arista Networks | 220.82 Bn | 174.27 Bn | 1.91 Bn | 33.80 Mn |
| 5 | Sandisk | 189.16 Bn | 177.68 Bn | 7.58 Bn | 197.00 Mn |
| 6 | Sony | 155.47 Bn | 92.73 Bn | 6.53 Bn | 3.57 Bn |
| 7 | Seagate Technology Holdings | 142.58 Bn | 137.57 Bn | 1.90 Bn | 147.00 Mn |
| 8 | Western Digital | 121.84 Bn | 109.96 Bn | 2.03 Bn | 138.00 Mn |
| 9 | Hewlett Packard Enterprise | 76.34 Bn | 54.22 Bn | 4.93 Bn | 1.96 Bn |
| 10 | Intest | 171.91 Mn | 106.50 Mn | 14.30 Mn | 6.21 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.21 Mn |
| Mar 31, 2026 | 6.12 Mn |
| Dec 31, 2025 | 5.52 Mn |
| Sep 30, 2025 | 5.13 Mn |
| Jun 30, 2025 | 5.76 Mn |
| Mar 31, 2025 | 5.82 Mn |
| Dec 31, 2024 | 5.78 Mn |
| Sep 30, 2024 | 6.12 Mn |
| Jun 30, 2024 | 6.24 Mn |
| Mar 31, 2024 | 5.42 Mn |
| Dec 31, 2023 | 5.22 Mn |
| Sep 30, 2023 | 5.88 Mn |
| Jun 30, 2023 | 5.04 Mn |
| Mar 31, 2023 | 5.18 Mn |
| Dec 31, 2022 | 4.66 Mn |
| Sep 30, 2022 | 4.86 Mn |
| Jun 30, 2022 | 4.93 Mn |
| Mar 31, 2022 | 4.83 Mn |
| Dec 31, 2021 | 5.32 Mn |
| Sep 30, 2021 | 3.62 Mn |
Intest 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=INTT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "INTT", "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=INTT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();