MOVING iMAGE TECHNOLOGIES (MITQ) Operating Expenses (2020 - 2025)
MOVING iMAGE TECHNOLOGIES's Operating Expenses was $1.57 million in fiscal Q2 2026 (quarter ended Dec 31, 2025), up 5.1% from $1.5 million a year earlier and up 18.8% from the prior quarter.
MOVING iMAGE TECHNOLOGIES (MITQ) Operating Expenses (2020 - 2025) Analysis & Trends
On a trailing twelve-month basis, MOVING iMAGE TECHNOLOGIES's Operating Expenses was $5.62 million through Dec 31, 2025, down 8.6% year-over-year; for FY2025 (ended Jun 30, 2025), it came in at $5.66 million, down 9.3% from FY2024.
- Operating Expenses shows a four-year compound annual growth rate of 14.9% (FY2021 to FY2025).
- In earlier fiscal years, Operating Expenses was $6.24 million in FY2024 (-14.3%), $7.29 million in FY2023 (+17.1%), $6.22 million in FY2022 (+91.5%) and $3.25 million in FY2021.
- The fiscal Q2 2026 figure marks the highest quarterly Operating Expenses since fiscal Q4 2024.
- Compared with a year earlier, Operating Expenses was higher in three of the last eight quarters, with an average decline of 10.2%.
- The best year-over-year quarter for Operating Expenses over five years was fiscal Q3 2022 (growth of 111.6%); the worst was fiscal Q4 2024 (a decline of 31.5%).
- Per Business Quant data, MITQ's Operating Expenses in the three fiscal quarters before Q2 2026 was $1.32 million (Q1 2026), $1.39 million (Q4 2025) and $1.33 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 96.85 Bn | 95.03 Bn | 1.55 Bn | 698.49 Mn |
| 2 | Ferrovial | 40.19 Bn | 20.78 Bn | - | - |
| 3 | Emcor | 33.87 Bn | 30.26 Bn | 1.02 Bn | 475.04 Mn |
| 4 | Mastec | 16.39 Bn | 15.29 Bn | 556.28 Mn | 292.57 Mn |
| 5 | Jacobs Solutions | 16.20 Bn | 10.85 Bn | 810.70 Mn | 524.00 Mn |
| 6 | Sterling Infrastructure | 15.30 Bn | 13.66 Bn | 289.96 Mn | 65.66 Mn |
| 7 | IES Holdings | 12.83 Bn | 11.70 Bn | 340.66 Mn | 162.17 Mn |
| 8 | Dycom Industries | 7.99 Bn | 7.13 Bn | - | - |
| 9 | Stantec | 7.84 Bn | 7.84 Bn | - | 972.05 Mn |
| 10 | MOVING iMAGE TECHNOLOGIES | 5.87 Mn | -14.68 Mn | 1.17 Mn | 1.57 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 1.57 Mn |
| Sep 30, 2025 | 1.32 Mn |
| Jun 30, 2025 | 1.39 Mn |
| Mar 31, 2025 | 1.33 Mn |
| Dec 31, 2024 | 1.50 Mn |
| Sep 30, 2024 | 1.44 Mn |
| Jun 30, 2024 | 1.89 Mn |
| Mar 31, 2024 | 1.33 Mn |
| Dec 31, 2023 | 1.59 Mn |
| Sep 30, 2023 | 1.44 Mn |
| Jun 30, 2023 | 2.76 Mn |
| Mar 31, 2023 | 1.57 Mn |
| Dec 31, 2022 | 1.45 Mn |
| Sep 30, 2022 | 1.51 Mn |
| Jun 30, 2022 | 1.93 Mn |
| Mar 31, 2022 | 1.50 Mn |
| Dec 31, 2021 | 1.54 Mn |
| Sep 30, 2021 | 1.26 Mn |
| Jun 30, 2021 | 1.01 Mn |
| Mar 31, 2021 | 708,000.00 |
MOVING iMAGE TECHNOLOGIES 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=MITQ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "MITQ", "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=MITQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();