Aar (AIR) Cash & Equivalents (2009 - 2026)
Aar (AIR) reported Cash & Equivalents of $104.5 million for fiscal Q1 2027 (quarter ended Aug 31, 2026), up 30.6% from $80 million a year earlier and up 24.4% from the prior quarter.
Powered by 
Analysis
Aar (AIR) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended May 31, 2026), Aar posted Cash & Equivalents of $84 million, down 13.0% from FY2025.
- Cash & Equivalents has a five-year compound annual growth rate of 10.2% (FY2021 to FY2026).
- By fiscal year, Cash & Equivalents came in at $96.5 million in FY2025 (+12.5%), $85.8 million in FY2024 (+25.4%), $68.4 million in FY2023 (+27.9%) and $53.5 million in FY2022 (+3.3%).
- The fiscal Q1 2027 figure ranks as the highest quarterly Cash & Equivalents since fiscal Q2 2021.
- Year over year, Cash & Equivalents gained in five of the last eight quarters, with growth averaging 15.6%.
- The high point for year-over-year Cash & Equivalents in five years was fiscal Q1 2026 (growth of 62.3%); the low point was fiscal Q2 2022 (a decline of 61.2%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $84 million (Q4 2026), $78.5 million (Q3 2026) and $75.6 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | 9.35 Bn |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | 8.31 Bn |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | 7.24 Bn |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn | 3.79 Bn |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn | 563.00 Mn |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn | 4.33 Bn |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | 710.00 Mn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | 2.31 Bn |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 8.75 Bn |
| 10 | Aar | 4.12 Bn | 3.77 Bn | 176.30 Mn | 104.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 104.50 Mn |
| May 31, 2026 | 84.00 Mn |
| Feb 28, 2026 | 78.50 Mn |
| Nov 30, 2025 | 75.60 Mn |
| Aug 31, 2025 | 80.00 Mn |
| May 31, 2025 | 96.50 Mn |
| Feb 28, 2025 | 84.40 Mn |
| Nov 30, 2024 | 61.70 Mn |
| Aug 31, 2024 | 49.30 Mn |
| May 31, 2024 | 85.80 Mn |
| Feb 29, 2024 | 69.20 Mn |
| Nov 30, 2023 | 65.10 Mn |
| Aug 31, 2023 | 70.30 Mn |
| May 31, 2023 | 68.40 Mn |
| Feb 28, 2023 | 52.70 Mn |
| Nov 30, 2022 | 49.00 Mn |
| Aug 31, 2022 | 44.30 Mn |
| May 31, 2022 | 53.50 Mn |
| Feb 28, 2022 | 40.60 Mn |
| Nov 30, 2021 | 42.70 Mn |
API Access
Aar Cash & Equivalents 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=cash-and-equivalents&ticker=AIR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=AIR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();