Aar (AIR) Total Non-Current Liabilities (2010 - 2026)
Aar's Total Non-Current Liabilities was $1.04 billion in fiscal Q4 2026 (quarter ended May 31, 2026), down 3.7% from $1.08 billion a year earlier but up 0.3% from the prior quarter.
Aar (AIR) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
From fiscal Q4 2010 onward, Aar has reported Total Non-Current Liabilities for 65 quarters.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 35.4% (FY2021 to FY2026).
- In earlier fiscal years, Total Non-Current Liabilities was $1.08 billion in FY2025 (-3.1%), $1.11 billion in FY2024 (+191.1%), $382.5 million in FY2023 (+100.1%) and $191.2 million in FY2022 (-16.3%).
- Quarterly Total Non-Current Liabilities has moved between $191.2 million (fiscal Q3 2022) and $1.14 billion (fiscal Q1 2026) over five years.
- Compared with a year earlier, Total Non-Current Liabilities has declined for three straight quarters, with growth averaging 57.7% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was fiscal Q4 2024 (growth of 191.1%); the worst was fiscal Q1 2022 (a decline of 47.9%).
- Per Business Quant data, AIR's Total Non-Current Liabilities in the three fiscal quarters before Q4 2026 was $1.04 billion (Q3 2026), $1.09 billion (Q2 2026) and $1.14 billion (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.06 Bn | 284.06 Bn | 4.68 Bn | 102.53 Bn |
| 2 | Rtx | 252.10 Bn | 225.31 Bn | 5.13 Bn | 86.00 Mn |
| 3 | Boeing | 148.40 Bn | 55.10 Bn | 2.41 Bn | 157.29 Bn |
| 4 | Lockheed Martin | 118.20 Bn | 104.92 Bn | 2.45 Bn | 48.28 Bn |
| 5 | Howmet Aerospace | 92.39 Bn | 87.99 Bn | 951.00 Mn | 6.90 Bn |
| 6 | General Dynamics | 89.92 Bn | 77.03 Bn | 2.18 Bn | 14.57 Bn |
| 7 | Motorola Solutions | 73.84 Bn | 70.20 Bn | 1.68 Bn | 14.44 Bn |
| 8 | Northrop Grumman | 71.73 Bn | 60.97 Bn | 2.12 Bn | 30.72 Bn |
| 9 | Honeywell International | 66.60 Bn | 19.04 Bn | 3.65 Bn | 52.22 Bn |
| 10 | Aar | 4.29 Bn | 3.95 Bn | 176.30 Mn | 1.03 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 1.03 Bn |
| May 31, 2026 | 1.04 Bn |
| Feb 28, 2026 | 1.04 Bn |
| Nov 30, 2025 | 1.09 Bn |
| Aug 31, 2025 | 1.14 Bn |
| May 31, 2025 | 1.08 Bn |
| Feb 28, 2025 | 1.13 Bn |
| Nov 30, 2024 | 1.11 Bn |
| Aug 31, 2024 | 1.11 Bn |
| May 31, 2024 | 1.11 Bn |
| Feb 29, 2024 | 425.60 Mn |
| Nov 30, 2023 | 430.00 Mn |
| Aug 31, 2023 | 439.00 Mn |
| May 31, 2023 | 382.50 Mn |
| Feb 28, 2023 | 274.00 Mn |
| Nov 30, 2022 | 287.90 Mn |
| Aug 31, 2022 | 204.50 Mn |
| May 31, 2022 | 191.20 Mn |
| Feb 28, 2022 | 191.20 Mn |
| Nov 30, 2021 | 202.40 Mn |
Aar Total Non-Current 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-non-current-liabilities&ticker=AIR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=AIR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();