Aar (AIR) Exchange Rate Effect (2009 - 2022)
Aar (AIR) reported Exchange Rate Effect of -$100,000 for FY2023 (year ended May 31, 2023), compared with -$200,000 in FY2022.
Analysis
Aar (AIR) Exchange Rate Effect (2009 - 2022) Analysis & Trends
Dating back to FY2009, Aar's Exchange Rate Effect record includes 14 fiscal years.
- Five-year annual Exchange Rate Effect spans a low of -$200,000 in FY2019 and a high of $300,000 in FY2021.
- According to Business Quant data, Exchange Rate Effect came in at -$200,000 in FY2022, $300,000 in FY2021 and -$200,000 in FY2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | -11.00 Mn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | -13.00 Mn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 1.00 Mn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | - |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | - |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | - |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | -20.00 Mn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | - |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | -60.00 Mn |
| 10 | Aar | 4.58 Bn | 4.27 Bn | 176.70 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2022 | -100,000.00 |
| May 31, 2022 | -100,000.00 |
| Feb 28, 2022 | 100,000.00 |
| Nov 30, 2021 | -100,000.00 |
| Aug 31, 2021 | -100,000.00 |
| May 31, 2021 | 100,000.00 |
| Feb 28, 2021 | 100,000.00 |
| Aug 31, 2020 | 100,000.00 |
| May 31, 2019 | -100,000.00 |
| Feb 28, 2019 | 100,000.00 |
| Nov 30, 2018 | -100,000.00 |
| Aug 31, 2018 | -100,000.00 |
| Nov 30, 2016 | -100,000.00 |
| Aug 31, 2016 | -400,000.00 |
| May 31, 2016 | 100,000.00 |
| Feb 29, 2016 | -300,000.00 |
| Nov 30, 2015 | -200,000.00 |
| Aug 31, 2015 | 100,000.00 |
| May 31, 2015 | 1.40 Mn |
| Feb 28, 2015 | -2.30 Mn |
API Access
Aar Exchange Rate Effect 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=exchange-rate-effect&ticker=AIR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=AIR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();