Aar (AIR) Accumulated Expenses (2010 - 2026)
Aar (AIR) recorded Accumulated Expenses of $329 million in fiscal Q3 2026 (quarter ended Feb 28, 2026), up 39.0% from $236.7 million a year earlier and up 30.3% from the prior quarter.
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Analysis
Aar (AIR) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended May 31, 2025), Aar reported Accumulated Expenses of $251.6 million, up 14.7% from FY2024.
- Annual Accumulated Expenses has increased for seven straight fiscal years, with a five-year compound annual growth rate of 9.3% (FY2020 to FY2025).
- Across earlier fiscal years, Accumulated Expenses came in at $219.3 million in FY2024 (+22.1%), $179.6 million in FY2023 (+2.9%), $174.6 million in FY2022 (+0.2%) and $174.2 million in FY2021 (+7.8%).
- The fiscal Q3 2026 figure is the highest quarterly Accumulated Expenses in data going back to fiscal Q4 2010.
- On a year-over-year basis, Accumulated Expenses rose in seven of the last eight quarters, with growth averaging 25.1%.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 62.8% in fiscal Q2 2025, against a decline of 7.9% in fiscal Q1 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $252.4 million (Q2 2026), $225 million (Q1 2026) and $251.6 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 324.20 Bn | 278.20 Bn | 4.68 Bn |
| 2 | Rtx | 249.38 Bn | 222.59 Bn | 5.13 Bn |
| 3 | Boeing | 152.06 Bn | 58.76 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 116.66 Bn | 103.39 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 91.36 Bn | 86.97 Bn | 951.00 Mn |
| 6 | General Dynamics | 90.03 Bn | 77.14 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 74.17 Bn | 70.53 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 68.46 Bn | 57.71 Bn | 2.12 Bn |
| 9 | Honeywell International | 67.76 Bn | 20.21 Bn | 3.65 Bn |
| 10 | Aar | 4.02 Bn | 3.67 Bn | 176.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 272.00 Mn |
| May 31, 2026 | 267.30 Mn |
| Feb 28, 2026 | 329.00 Mn |
| Nov 30, 2025 | 252.40 Mn |
| Aug 31, 2025 | 225.00 Mn |
| May 31, 2025 | 251.60 Mn |
| Feb 28, 2025 | 236.70 Mn |
| Nov 30, 2024 | 258.80 Mn |
| Aug 31, 2024 | 200.80 Mn |
| May 31, 2024 | 219.30 Mn |
| Feb 29, 2024 | 187.40 Mn |
| Nov 30, 2023 | 159.00 Mn |
| Aug 31, 2023 | 158.90 Mn |
| May 31, 2023 | 179.60 Mn |
| Feb 28, 2023 | 158.50 Mn |
| Nov 30, 2022 | 151.90 Mn |
| Aug 31, 2022 | 147.20 Mn |
| May 31, 2022 | 174.60 Mn |
| Feb 28, 2022 | 157.40 Mn |
| Nov 30, 2021 | 143.10 Mn |
API Access
Aar Accumulated 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=accumulated-expenses&ticker=AIR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=AIR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();