Intest (INTT) Operating Expenses (2010 - 2026)
Intest (INTT) posted Operating Expenses of $13.94 million for Q2 2026, up 8.0% from $12.9 million a year earlier but down 3.6% from the prior quarter.
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Analysis
Intest (INTT) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Intest was $54.2 million, up 2.6% year-over-year; for FY2025, it came in at $52.65 million, up 1.2% from FY2024.
- Annual Operating Expenses has increased for five consecutive years, with a five-year compound annual growth rate of 15.8% (FY2020 to FY2025).
- In prior years, Intest's Operating Expenses was $52.03 million in FY2024 (+11.8%), $46.54 million in FY2023 (+8.9%), $42.72 million in FY2022 (+30.4%) and $32.77 million in FY2021 (+29.4%).
- Quarterly Operating Expenses has run from a low of $7.85 million in Q3 2021 to a high of $14.45 million in Q1 2026 over five years.
- On a year-over-year basis, Operating Expenses has increased in each of the last three quarters, with growth averaging 5.1% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q1 2022, with growth of 47.1%; the weakest was Q3 2025, with a decline of 9.9%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $14.45 million (Q1 2026), $13.62 million (Q4 2025) and $12.19 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,981.98 Bn | 4,729.47 Bn | 54.77 Bn | 19.08 Bn |
| 2 | Cisco Systems | 421.31 Bn | 357.24 Bn | 11.06 Bn | 6.80 Bn |
| 3 | Dell Technologies | 299.19 Bn | 254.95 Bn | 9.83 Bn | 4.45 Bn |
| 4 | Arista Networks | 228.80 Bn | 182.26 Bn | 1.91 Bn | 532.30 Mn |
| 5 | Sandisk | 201.98 Bn | 190.50 Bn | 7.58 Bn | 545.00 Mn |
| 6 | Sony | 150.27 Bn | 87.53 Bn | 6.53 Bn | 14.83 Bn |
| 7 | Seagate Technology Holdings | 148.10 Bn | 143.09 Bn | 1.90 Bn | 2.07 Bn |
| 8 | Western Digital | 125.77 Bn | 113.90 Bn | 2.03 Bn | 465.00 Mn |
| 9 | Hewlett Packard Enterprise | 75.54 Bn | 53.42 Bn | 4.93 Bn | 10.82 Bn |
| 10 | Intest | 162.68 Mn | 97.26 Mn | 14.30 Mn | 13.94 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.94 Mn |
| Mar 31, 2026 | 14.45 Mn |
| Dec 31, 2025 | 13.62 Mn |
| Sep 30, 2025 | 12.19 Mn |
| Jun 30, 2025 | 12.90 Mn |
| Mar 31, 2025 | 13.94 Mn |
| Dec 31, 2024 | 12.46 Mn |
| Sep 30, 2024 | 13.53 Mn |
| Jun 30, 2024 | 13.46 Mn |
| Mar 31, 2024 | 12.58 Mn |
| Dec 31, 2023 | 11.34 Mn |
| Sep 30, 2023 | 11.98 Mn |
| Jun 30, 2023 | 11.69 Mn |
| Mar 31, 2023 | 11.53 Mn |
| Dec 31, 2022 | 10.95 Mn |
| Sep 30, 2022 | 10.74 Mn |
| Jun 30, 2022 | 10.82 Mn |
| Mar 31, 2022 | 10.21 Mn |
| Dec 31, 2021 | 10.05 Mn |
| Sep 30, 2021 | 7.85 Mn |
API Access
Intest Operating Expenses 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=operating-expenses&ticker=INTT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=INTT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();