Applied Industrial Technologies (AIT) Exchange Rate Effect (2009 - 2026)
Applied Industrial Technologies' Exchange Rate Effect came in at -$558,000 for fiscal Q1 2027 (quarter ended Sep 30, 2026), compared with -$907,000 a year earlier.
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Analysis
Applied Industrial Technologies (AIT) Exchange Rate Effect (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Applied Industrial Technologies reported Exchange Rate Effect of $418,000; for FY2026 (ended Jun 30, 2026), it came in at $69,000.
- Exchange Rate Effect carries a five-year compound annual growth rate of -58.3% (FY2021 to FY2026).
- Going back by fiscal year, Exchange Rate Effect was -$226,000 in FY2025, -$2.94 million in FY2024, $3.32 million in FY2023 and -$2.15 million in FY2022.
- The five-year range for quarterly Exchange Rate Effect is -$5.4 million (fiscal Q2 2025) to $5.14 million (fiscal Q4 2025).
- Business Quant data shows AIT's Exchange Rate Effect at $88,000 (Q4 2026), -$1.03 million (Q3 2026) and $1.92 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 68.95 Bn | 66.71 Bn | 2.01 Bn | 5.00 Mn |
| 2 | United Rentals | 68.54 Bn | 67.66 Bn | 2.05 Bn | - |
| 3 | Fastenal | 62.92 Bn | 61.91 Bn | 1.10 Bn | -1.00 Mn |
| 4 | Ferguson Enterprises | 50.34 Bn | 47.55 Bn | 2.32 Bn | -2.00 Mn |
| 5 | Sunbelt Rentals Holdings | 33.33 Bn | 33.21 Bn | 1.25 Bn | - |
| 6 | Reliance | 21.77 Bn | 20.83 Bn | 1.45 Bn | 2.20 Mn |
| 7 | Wesco International | 15.42 Bn | 12.47 Bn | 1.57 Bn | -4.40 Mn |
| 8 | Watsco | 11.20 Bn | 9.27 Bn | 586.29 Mn | 528,000.00 |
| 9 | Applied Industrial Technologies | 10.92 Bn | 10.80 Bn | 392.21 Mn | -558,000.00 |
| 10 | Avantor | 10.55 Bn | 9.13 Bn | 534.80 Mn | -900,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -558,000.00 |
| Jun 30, 2026 | 88,000.00 |
| Mar 31, 2026 | -1.03 Mn |
| Dec 31, 2025 | 1.92 Mn |
| Sep 30, 2025 | -907,000.00 |
| Jun 30, 2025 | 5.14 Mn |
| Mar 31, 2025 | 624,000.00 |
| Dec 31, 2024 | -5.40 Mn |
| Sep 30, 2024 | -581,000.00 |
| Jun 30, 2024 | -2.73 Mn |
| Mar 31, 2024 | -1.12 Mn |
| Dec 31, 2023 | 2.61 Mn |
| Sep 30, 2023 | -1.69 Mn |
| Jun 30, 2023 | 1.92 Mn |
| Mar 31, 2023 | 1.82 Mn |
| Dec 31, 2022 | 1.41 Mn |
| Sep 30, 2022 | -1.83 Mn |
| Jun 30, 2022 | -1.87 Mn |
| Mar 31, 2022 | 1.56 Mn |
| Dec 31, 2021 | -254,000.00 |
API Access
Applied Industrial Technologies 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=AIT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "AIT", "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=AIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();