Imax (IMAX) Other Operating Expenses (2011 - 2021)
Imax's Other Operating Expenses was -$38.29 million in Q2 2026, compared with -$36.54 million a year earlier.
Imax (IMAX) Other Operating Expenses (2011 - 2021) Analysis & Trends
On a trailing twelve-month basis, Imax's Other Operating Expenses was -$161.55 million through Jun 30, 2026; for FY2025, it was -$158.21 million.
- In earlier years, Other Operating Expenses was -$156.91 million in FY2024, -$150.39 million in FY2023, -$139.15 million in FY2022 and -$113.53 million in FY2021.
- Quarterly Other Operating Expenses has moved between -$51.62 million (Q4 2025) and -$27.07 million (Q1 2022) over five years.
- Per Business Quant data, IMAX's Other Operating Expenses in the three quarters before Q2 2026 was -$33.76 million (Q1 2026), -$51.62 million (Q4 2025) and -$37.88 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn |
| 10 | Imax | 2.70 Bn | 2.13 Bn | 126.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2021 | -1.77 Mn |
| Dec 31, 2020 | 3.20 Mn |
| Dec 31, 2018 | 4.24 Mn |
| Jun 30, 2018 | 7.50 Mn |
| Mar 31, 2011 | 2.06 Mn |
Imax Other 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=other-operating-expenses&ticker=IMAX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=IMAX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();