Aar (AIR) Non-Current Assets (2010 - 2026)
Aar (AIR) posted Non-Current Assets of $1.61 billion for fiscal Q4 2026 (quarter ended May 31, 2026), up 21.0% from $1.33 billion a year earlier and up 2.9% from the prior quarter.
Aar (AIR) Non-Current Assets (2010 - 2026) Analysis & Trends
Since fiscal Q4 2010, Aar has reported Non-Current Assets for 65 quarters.
- Annual Non-Current Assets shows a five-year compound annual growth rate of 21.8% (FY2021 to FY2026).
- In prior fiscal years, Aar's Non-Current Assets was $1.33 billion in FY2025 (-3.4%), $1.38 billion in FY2024 (+87.8%), $735.2 million in FY2023 (+29.7%) and $566.7 million in FY2022 (-6.0%).
- The fiscal Q4 2026 figure stands as the highest quarterly Non-Current Assets in data going back to fiscal Q4 2010.
- On a year-over-year basis, Non-Current Assets has increased in each of the last four quarters, with growth averaging 34.7% over the last eight quarters.
- The strongest year-over-year quarter for Non-Current Assets in the past five years was fiscal Q4 2024, with growth of 87.8%; the weakest was fiscal Q1 2022, with a decline of 7.6%.
- According to Business Quant data, Non-Current Assets for the three prior fiscal quarters was $1.57 billion (Q3 2026), $1.55 billion (Q2 2026) and $1.36 billion (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | 87.98 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 1.25 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 41.24 Bn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | 34.05 Bn |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 9.06 Bn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 33.13 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 13.11 Bn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 35.17 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 49.27 Bn |
| 10 | Aar | 4.58 Bn | 4.27 Bn | 176.70 Mn | 1.61 Bn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 1.61 Bn |
| Feb 28, 2026 | 1.57 Bn |
| Nov 30, 2025 | 1.55 Bn |
| Aug 31, 2025 | 1.36 Bn |
| May 31, 2025 | 1.33 Bn |
| Feb 28, 2025 | 1.32 Bn |
| Nov 30, 2024 | 1.35 Bn |
| Aug 31, 2024 | 1.36 Bn |
| May 31, 2024 | 1.38 Bn |
| Feb 29, 2024 | 781.10 Mn |
| Nov 30, 2023 | 771.20 Mn |
| Aug 31, 2023 | 747.20 Mn |
| May 31, 2023 | 735.20 Mn |
| Feb 28, 2023 | 605.50 Mn |
| Nov 30, 2022 | 586.60 Mn |
| Aug 31, 2022 | 563.70 Mn |
| May 31, 2022 | 566.70 Mn |
| Feb 28, 2022 | 574.80 Mn |
| Nov 30, 2021 | 582.90 Mn |
| Aug 31, 2021 | 590.80 Mn |
Aar Non-Current Assets 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=non-current-assets&ticker=AIR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=AIR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();