Imax (IMAX) Total Liabilities (2010 - 2026)
Imax (IMAX) posted Total Liabilities of $468.18 million for Q2 2026, up 0.9% from $464.2 million a year earlier and up 0.6% from the prior quarter.
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Analysis
Imax (IMAX) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Imax's Total Liabilities came in at $466.96 million, up 3.1% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of -2.6% (FY2020 to FY2025).
- In prior years, Imax's Total Liabilities was $452.86 million in FY2024 (-3.6%), $469.74 million in FY2023 (-4.5%), $492.11 million in FY2022 (+8.5%) and $453.63 million in FY2021 (-15.0%).
- The Q2 2026 figure stands as the highest quarterly Total Liabilities since Q3 2024.
- On a year-over-year basis, Total Liabilities has increased in each of the last three quarters, with an average decline of 2.2% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q1 2023, with growth of 11.3%; the weakest was Q3 2021, with a decline of 15.3%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $465.51 million (Q1 2026), $466.96 million (Q4 2025) and $453.59 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 83.22 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 29.19 Bn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | 79.61 Bn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 35.88 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 15.46 Bn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 11.14 Bn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 21.81 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 31.92 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | 13.60 Bn |
| 10 | Imax | 3.08 Bn | 2.57 Bn | 62.90 Mn | 468.18 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 468.18 Mn |
| Mar 31, 2026 | 465.51 Mn |
| Dec 31, 2025 | 466.96 Mn |
| Sep 30, 2025 | 453.59 Mn |
| Jun 30, 2025 | 464.20 Mn |
| Mar 31, 2025 | 464.69 Mn |
| Dec 31, 2024 | 452.86 Mn |
| Sep 30, 2024 | 480.45 Mn |
| Jun 30, 2024 | 485.09 Mn |
| Mar 31, 2024 | 491.41 Mn |
| Dec 31, 2023 | 469.74 Mn |
| Sep 30, 2023 | 494.20 Mn |
| Jun 30, 2023 | 478.83 Mn |
| Mar 31, 2023 | 488.41 Mn |
| Dec 31, 2022 | 492.11 Mn |
| Sep 30, 2022 | 463.03 Mn |
| Jun 30, 2022 | 444.34 Mn |
| Mar 31, 2022 | 438.73 Mn |
| Dec 31, 2021 | 453.63 Mn |
| Sep 30, 2021 | 451.45 Mn |
API Access
Imax Total Liabilities 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=total-liabilities&ticker=IMAX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=IMAX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();