Aar (AIR) Operating Expenses (2009 - 2026)
Aar (AIR) recorded Operating Expenses of $107 million in fiscal Q1 2027 (quarter ended Aug 31, 2026), up 49.0% from $71.8 million a year earlier and up 7.4% from the prior quarter.
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Analysis
Aar (AIR) Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Aar's Operating Expenses came in at $385.1 million as of Aug 31, 2026, up 12.1% year-over-year; for FY2026 (ended May 31, 2026), it came in at $349.3 million, up 0.5% from FY2025.
- Annual Operating Expenses has a five-year compound annual growth rate of -25.9% (FY2021 to FY2026).
- Across earlier fiscal years, Operating Expenses came in at $347.7 million in FY2025 (+11.4%), $312.2 million in FY2024 (-83.2%), $1.85 billion in FY2023 (+8.4%) and $1.71 billion in FY2022 (+9.1%).
- The fiscal Q1 2027 figure is the highest quarterly Operating Expenses since fiscal Q2 2025.
- On a year-over-year basis, Operating Expenses has increased for three consecutive quarters, with growth averaging 18.7% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 102.6% in fiscal Q2 2025, against a decline of 85.0% in fiscal Q2 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $99.6 million (Q4 2026), $89.8 million (Q3 2026) and $88.7 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 311.78 Bn | 265.55 Bn | 4.68 Bn | 10.86 Bn |
| 2 | Rtx | 258.55 Bn | 230.03 Bn | 5.13 Bn | 21.96 Bn |
| 3 | Boeing | 151.49 Bn | 58.18 Bn | 2.41 Bn | 2.35 Bn |
| 4 | Lockheed Martin | 126.80 Bn | 113.53 Bn | 2.45 Bn | - |
| 5 | General Dynamics | 92.88 Bn | 79.99 Bn | 2.18 Bn | 12.63 Bn |
| 6 | Howmet Aerospace | 83.13 Bn | 78.73 Bn | 951.00 Mn | 156.00 Mn |
| 7 | Northrop Grumman | 76.46 Bn | 65.70 Bn | 2.12 Bn | 9.78 Bn |
| 8 | Motorola Solutions | 76.43 Bn | 72.78 Bn | 1.68 Bn | 756.00 Mn |
| 9 | Honeywell International | 67.46 Bn | 19.58 Bn | 3.65 Bn | 1.87 Bn |
| 10 | Aar | 3.95 Bn | 3.61 Bn | 176.30 Mn | 107.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 107.00 Mn |
| May 31, 2026 | 99.60 Mn |
| Feb 28, 2026 | 89.80 Mn |
| Nov 30, 2025 | 88.70 Mn |
| Aug 31, 2025 | 71.80 Mn |
| May 31, 2025 | 77.40 Mn |
| Feb 28, 2025 | 61.30 Mn |
| Nov 30, 2024 | 133.10 Mn |
| Aug 31, 2024 | 75.90 Mn |
| May 31, 2024 | 94.80 Mn |
| Feb 29, 2024 | 77.00 Mn |
| Nov 30, 2023 | 65.70 Mn |
| Aug 31, 2023 | 74.70 Mn |
| May 31, 2023 | 516.80 Mn |
| Feb 28, 2023 | 485.40 Mn |
| Nov 30, 2022 | 436.70 Mn |
| Aug 31, 2022 | 414.50 Mn |
| May 31, 2022 | 443.50 Mn |
| Feb 28, 2022 | 420.80 Mn |
| Nov 30, 2021 | 406.10 Mn |
API Access
Aar Operating Expenses 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=operating-expenses&ticker=AIR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=AIR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();