Aar (AIR) Total Liabilities (2010 - 2026)
Aar (AIR) posted Total Liabilities of $1.65 billion for fiscal Q4 2026 (quarter ended May 31, 2026), up 1.2% from $1.63 billion a year earlier but down 2.2% from the prior quarter.
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Analysis
Aar (AIR) Total Liabilities (2010 - 2026) Analysis & Trends
Since fiscal Q4 2010, Aar has reported Total Liabilities for 65 quarters.
- Annual Total Liabilities has increased for four consecutive fiscal years, with a five-year compound annual growth rate of 23.9% (FY2021 to FY2026).
- In prior fiscal years, Aar's Total Liabilities was $1.63 billion in FY2025 (+3.3%), $1.58 billion in FY2024 (+115.3%), $734 million in FY2023 (+36.1%) and $539.4 million in FY2022 (-4.6%).
- Quarterly Total Liabilities has run from a low of $522.6 million in fiscal Q2 2022 to a high of $1.69 billion in fiscal Q3 2026 over five years.
- On a year-over-year basis, Total Liabilities has increased in each of the last 16 quarters, with growth averaging 38.0% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was fiscal Q4 2024, with growth of 115.3%; the weakest was fiscal Q1 2022, with a decline of 33.5%.
- According to Business Quant data, Total Liabilities for the three prior fiscal quarters was $1.69 billion (Q3 2026), $1.68 billion (Q2 2026) and $1.68 billion (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | 109.81 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 105.86 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 159.76 Bn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | 53.68 Bn |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 7.52 Bn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 33.34 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 16.55 Bn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 32.88 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 58.49 Bn |
| 10 | Aar | 4.58 Bn | 4.27 Bn | 176.70 Mn | 1.65 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 1.65 Bn |
| Feb 28, 2026 | 1.69 Bn |
| Nov 30, 2025 | 1.68 Bn |
| Aug 31, 2025 | 1.68 Bn |
| May 31, 2025 | 1.63 Bn |
| Feb 28, 2025 | 1.68 Bn |
| Nov 30, 2024 | 1.67 Bn |
| Aug 31, 2024 | 1.57 Bn |
| May 31, 2024 | 1.58 Bn |
| Feb 29, 2024 | 853.80 Mn |
| Nov 30, 2023 | 810.10 Mn |
| Aug 31, 2023 | 832.50 Mn |
| May 31, 2023 | 734.00 Mn |
| Feb 28, 2023 | 605.60 Mn |
| Nov 30, 2022 | 611.60 Mn |
| Aug 31, 2022 | 562.40 Mn |
| May 31, 2022 | 539.40 Mn |
| Feb 28, 2022 | 534.30 Mn |
| Nov 30, 2021 | 522.60 Mn |
| Aug 31, 2021 | 547.50 Mn |
API Access
Aar 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=AIR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "AIR", "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=AIR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();