Aar (AIR) EBITDA (2009 - 2026)
Aar (AIR) recorded EBITDA of $90.9 million in fiscal Q1 2027 (quarter ended Aug 31, 2026), up 15.5% from $78.7 million a year earlier but down 10.1% from the prior quarter.
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Analysis
Aar (AIR) EBITDA (2009 - 2026) Analysis & Trends
On a TTM basis, Aar's EBITDA came in at $362.1 million as of Aug 31, 2026, up 38.1% year-over-year; for FY2026 (ended May 31, 2026), it was $349.9 million, up 45.5% from FY2025.
- Annual EBITDA has increased for six straight fiscal years, with a five-year compound annual growth rate of 23.6% (FY2021 to FY2026).
- Across earlier fiscal years, EBITDA came in at $240.4 million in FY2025 (+41.9%), $169.4 million in FY2024 (+5.2%), $161.1 million in FY2023 (+15.1%) and $140 million in FY2022 (+15.2%).
- Quarterly EBITDA has ranged from $11.7 million in fiscal Q2 2025 to $101.1 million in fiscal Q4 2026 over the past five years.
- On a year-over-year basis, EBITDA has increased for seven consecutive quarters, with growth averaging 100.5% over the last eight quarters.
- Peak year-over-year performance for EBITDA in the last five years was growth of 618.8% in fiscal Q2 2026, against a decline of 75.1% in fiscal Q2 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $101.1 million (Q4 2026), $86 million (Q3 2026) and $84.1 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 311.13 Bn | 264.90 Bn | 4.68 Bn | -5.87 Bn |
| 2 | Rtx | 264.98 Bn | 236.46 Bn | 5.13 Bn | 3.89 Bn |
| 3 | Boeing | 150.95 Bn | 57.64 Bn | 2.41 Bn | 752.00 Mn |
| 4 | Lockheed Martin | 128.22 Bn | 114.95 Bn | 2.45 Bn | 2.88 Bn |
| 5 | General Dynamics | 93.56 Bn | 80.67 Bn | 2.18 Bn | 1.68 Bn |
| 6 | Howmet Aerospace | 84.57 Bn | 80.17 Bn | 951.00 Mn | 795.00 Mn |
| 7 | Northrop Grumman | 77.45 Bn | 66.69 Bn | 2.12 Bn | 1.46 Bn |
| 8 | Motorola Solutions | 76.68 Bn | 73.03 Bn | 1.68 Bn | 957.00 Mn |
| 9 | Honeywell International | 67.34 Bn | 19.47 Bn | 3.65 Bn | 2.10 Bn |
| 10 | Aar | 3.89 Bn | 3.55 Bn | 176.30 Mn | 91.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 91.70 Mn |
| May 31, 2026 | 101.90 Mn |
| Feb 28, 2026 | 86.80 Mn |
| Nov 30, 2025 | 85.00 Mn |
| Aug 31, 2025 | 79.40 Mn |
| May 31, 2025 | 87.30 Mn |
| Feb 28, 2025 | 85.80 Mn |
| Nov 30, 2024 | 12.30 Mn |
| Aug 31, 2024 | 57.60 Mn |
| May 31, 2024 | 47.90 Mn |
| Feb 29, 2024 | 41.40 Mn |
| Nov 30, 2023 | 47.00 Mn |
| Aug 31, 2023 | 33.70 Mn |
| May 31, 2023 | 43.30 Mn |
| Feb 28, 2023 | 40.90 Mn |
| Nov 30, 2022 | 38.90 Mn |
| Aug 31, 2022 | 38.00 Mn |
| May 31, 2022 | 39.00 Mn |
| Feb 28, 2022 | 38.00 Mn |
| Nov 30, 2021 | 39.00 Mn |
API Access
Aar EBITDA 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=ebitda&ticker=AIR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=AIR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();