Aar (AIR) Total Liabilities (2010 - 2026)
Aar (AIR) posted Total Liabilities of $1.68 billion for fiscal Q1 2027 (quarter ended Aug 31, 2026), up 0.2% from $1.68 billion a year earlier and up 2.0% from the prior quarter.
Aar (AIR) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended May 31, 2026), Aar's Total Liabilities came in at $1.65 billion, up 1.2% from FY2025.
- 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 17 quarters, with growth averaging 26.9% 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 Q2 2022, with a decline of 32.0%.
- According to Business Quant data, Total Liabilities for the three prior fiscal quarters was $1.65 billion (Q4 2026), $1.69 billion (Q3 2026) and $1.68 billion (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 311.51 Bn | 265.28 Bn | 4.68 Bn | 109.81 Bn |
| 2 | Rtx | 260.81 Bn | 232.28 Bn | 5.13 Bn | 105.86 Bn |
| 3 | Boeing | 150.42 Bn | 57.11 Bn | 2.41 Bn | 159.76 Bn |
| 4 | Lockheed Martin | 126.49 Bn | 113.21 Bn | 2.45 Bn | 53.68 Bn |
| 5 | General Dynamics | 93.01 Bn | 80.13 Bn | 2.18 Bn | 33.34 Bn |
| 6 | Howmet Aerospace | 84.65 Bn | 80.25 Bn | 951.00 Mn | 7.52 Bn |
| 7 | Motorola Solutions | 76.78 Bn | 73.13 Bn | 1.68 Bn | 16.55 Bn |
| 8 | Northrop Grumman | 75.94 Bn | 65.19 Bn | 2.12 Bn | 32.88 Bn |
| 9 | Honeywell International | 67.59 Bn | 19.71 Bn | 3.65 Bn | 58.49 Bn |
| 10 | Aar | 3.95 Bn | 3.61 Bn | 176.30 Mn | 1.68 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 1.68 Bn |
| 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 |
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_KEY
import 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();