MOVING iMAGE TECHNOLOGIES (MITQ) Capital Expenditures (2022 - 2023)
MOVING iMAGE TECHNOLOGIES (MITQ) reported Capital Expenditures of $12,000 for FY2024 (year ended Jun 30, 2024), down 20.0% from $15,000 in FY2023.
MOVING iMAGE TECHNOLOGIES (MITQ) Capital Expenditures (2022 - 2023) Analysis & Trends
Dating back to FY2021, MOVING iMAGE TECHNOLOGIES's Capital Expenditures record includes 4 fiscal years.
- Capital Expenditures has a three-year compound annual growth rate of 81.7% (FY2021 to FY2024).
- The FY2024 figure ranks as the lowest annual Capital Expenditures since FY2021.
- According to Business Quant data, Capital Expenditures came in at $15,000 in FY2023 (-25.0%), $20,000 in FY2022 (+900.0%) and $2,000 in FY2021.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 96.85 Bn | 95.03 Bn | 1.55 Bn | 230.96 Mn |
| 2 | Ferrovial | 40.19 Bn | 20.78 Bn | - | - |
| 3 | Emcor | 33.87 Bn | 30.26 Bn | 1.02 Bn | 31.15 Mn |
| 4 | Mastec | 16.39 Bn | 15.29 Bn | 556.28 Mn | 91.51 Mn |
| 5 | Jacobs Solutions | 16.20 Bn | 10.85 Bn | 810.70 Mn | 25.13 Mn |
| 6 | Sterling Infrastructure | 15.30 Bn | 13.66 Bn | 289.96 Mn | 50.02 Mn |
| 7 | IES Holdings | 12.83 Bn | 11.70 Bn | 340.66 Mn | 44.64 Mn |
| 8 | Dycom Industries | 7.99 Bn | 7.13 Bn | - | - |
| 9 | Stantec | 7.84 Bn | 7.84 Bn | - | -30.00 Mn |
| 10 | MOVING iMAGE TECHNOLOGIES | 5.87 Mn | -14.68 Mn | 1.17 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 11,000.00 |
| Sep 30, 2023 | 1,000.00 |
| Jun 30, 2023 | 8,000.00 |
| Mar 31, 2023 | 3,000.00 |
| Dec 31, 2022 | 2,000.00 |
| Sep 30, 2022 | 2,000.00 |
| Jun 30, 2022 | 2,000.00 |
| Mar 31, 2022 | 16,000.00 |
MOVING iMAGE TECHNOLOGIES Capital Expenditures 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=capital-expenditures&ticker=MITQ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=MITQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();