Imax (IMAX) Operating Expenses (2010 - 2026)
Imax's Operating Expenses came in at $38.48 million for Q2 2026, up 2.2% from $37.64 million a year earlier and up 12.2% from the prior quarter.
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Analysis
Imax (IMAX) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Imax reported Operating Expenses of $147.08 million, up 4.3% year-over-year; for FY2025, it was $146.77 million, up 3.7% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 5.2% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $141.55 million in FY2024 (-10.1%), $157.46 million in FY2023 (+9.8%), $143.34 million in FY2022 (+15.4%) and $124.27 million in FY2021 (+8.9%).
- The five-year range for quarterly Operating Expenses is $30.4 million (Q3 2021) to $41.67 million (Q2 2023).
- Year-over-year, Operating Expenses increased in four of the last eight quarters, with an average decline of 0.4%.
- The fastest year-over-year change in Operating Expenses over five years came in Q1 2023 (growth of 19.2%), and the weakest in Q3 2024 (a decline of 20.1%).
- Business Quant data shows IMAX's Operating Expenses at $34.29 million (Q1 2026), $38.58 million (Q4 2025) and $35.72 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 16.25 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 963.40 Mn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 1.46 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 490.50 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 1.34 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 5.52 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | - |
| 10 | Imax | 3.01 Bn | 2.50 Bn | 62.90 Mn | 38.48 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 38.48 Mn |
| Mar 31, 2026 | 34.29 Mn |
| Dec 31, 2025 | 38.58 Mn |
| Sep 30, 2025 | 35.72 Mn |
| Jun 30, 2025 | 37.64 Mn |
| Mar 31, 2025 | 34.88 Mn |
| Dec 31, 2024 | 37.31 Mn |
| Sep 30, 2024 | 31.20 Mn |
| Jun 30, 2024 | 39.60 Mn |
| Mar 31, 2024 | 33.44 Mn |
| Dec 31, 2023 | 37.79 Mn |
| Sep 30, 2023 | 39.05 Mn |
| Jun 30, 2023 | 41.67 Mn |
| Mar 31, 2023 | 36.00 Mn |
| Dec 31, 2022 | 39.50 Mn |
| Sep 30, 2022 | 34.02 Mn |
| Jun 30, 2022 | 38.45 Mn |
| Mar 31, 2022 | 31.38 Mn |
| Dec 31, 2021 | 36.18 Mn |
| Sep 30, 2021 | 30.40 Mn |
API Access
Imax 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=IMAX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "IMAX", "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=IMAX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();