Aar (AIR) Receivables (2010 - 2026)
Aar's Receivables came in at $466.9 million for fiscal Q4 2026 (quarter ended May 31, 2026), down 5.7% from $495.1 million a year earlier and down 17.9% from the prior quarter.
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Analysis
Aar (AIR) Receivables (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended May 31, 2026), Aar's Receivables was $535.2 million, up 8.1% from FY2025.
- Receivables has increased in each of the last six fiscal years, with a five-year compound annual growth rate of 17.5% (FY2021 to FY2026).
- Going back by fiscal year, Receivables was $495.1 million in FY2025 (+20.6%), $410.4 million in FY2024 (+25.0%), $328.2 million in FY2023 (+14.1%) and $287.6 million in FY2022 (+20.5%).
- The fiscal Q4 2026 figure represents the lowest quarterly Receivables since fiscal Q3 2025.
- Year-over-year, Receivables increased in seven of the last eight quarters, with growth averaging 19.8%.
- The fastest year-over-year change in Receivables over five years came in fiscal Q2 2025 (growth of 36.1%), and the weakest in fiscal Q4 2026 (a decline of 5.7%).
- Business Quant data shows AIR's Receivables at $568.5 million (Q3 2026), $554.5 million (Q2 2026) and $510.2 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | 15.83 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 32.92 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 13.18 Bn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | 19.39 Bn |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 1.04 Bn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 48.50 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 3.62 Bn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 10.26 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 10.85 Bn |
| 10 | Aar | 4.58 Bn | 4.27 Bn | 176.70 Mn | 466.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 466.90 Mn |
| Feb 28, 2026 | 568.50 Mn |
| Nov 30, 2025 | 554.50 Mn |
| Aug 31, 2025 | 510.20 Mn |
| May 31, 2025 | 495.10 Mn |
| Feb 28, 2025 | 465.80 Mn |
| Nov 30, 2024 | 470.60 Mn |
| Aug 31, 2024 | 458.80 Mn |
| May 31, 2024 | 410.40 Mn |
| Feb 29, 2024 | 343.60 Mn |
| Nov 30, 2023 | 345.70 Mn |
| Aug 31, 2023 | 379.90 Mn |
| May 31, 2023 | 328.20 Mn |
| Feb 28, 2023 | 329.40 Mn |
| Nov 30, 2022 | 307.80 Mn |
| Aug 31, 2022 | 308.30 Mn |
| May 31, 2022 | 287.60 Mn |
| Feb 28, 2022 | 278.10 Mn |
| Nov 30, 2021 | 260.60 Mn |
| Aug 31, 2021 | 255.40 Mn |
API Access
Aar Receivables 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=receivables&ticker=AIR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=AIR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();