Applied Industrial Technologies (AIT) Non Operating Interest Expenses (2009 - 2010)
Applied Industrial Technologies (AIT) recorded Non Operating Interest Expenses of $17.39 million in FY2026 (year ended Jun 30, 2026), down 4.5% from $18.21 million in FY2025.
Applied Industrial Technologies (AIT) Non Operating Interest Expenses (2009 - 2010) Analysis & Trends
Starting with FY2009, Applied Industrial Technologies' Non Operating Interest Expenses history includes 18 fiscal years.
- Annual Non Operating Interest Expenses has declined for seven straight fiscal years, with a five-year compound annual growth rate of -10.8% (FY2021 to FY2026).
- The FY2026 figure is the lowest annual Non Operating Interest Expenses since FY2017.
- Per Business Quant data, AIT's Non Operating Interest Expenses was $18.21 million in FY2025 (-11.3%), $20.54 million in FY2024 (-17.1%), $24.79 million in FY2023 (-7.4%) and $26.79 million in FY2022 (-13.1%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 66.45 Bn | 65.21 Bn | 1.73 Bn | - |
| 2 | W.W. Grainger | 62.58 Bn | 60.18 Bn | 1.98 Bn | - |
| 3 | Fastenal | 59.02 Bn | 57.94 Bn | 1.06 Bn | 1.20 Mn |
| 4 | Ferguson Enterprises | 43.33 Bn | 40.54 Bn | 2.32 Bn | - |
| 5 | Sunbelt Rentals Holdings | 31.82 Bn | 31.70 Bn | 1.25 Bn | - |
| 6 | Reliance | 20.64 Bn | 19.68 Bn | 1.30 Bn | 18.20 Mn |
| 7 | Wesco International | 17.76 Bn | 15.08 Bn | 1.46 Bn | - |
| 8 | Applied Industrial Technologies | 12.45 Bn | 12.32 Bn | 411.22 Mn | - |
| 9 | Watsco | 11.13 Bn | 8.82 Bn | 578.93 Mn | - |
| 10 | Avantor | 10.53 Bn | 9.33 Bn | 537.00 Mn | 39.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2010 | 458,000.00 |
| Sep 30, 2010 | 1.12 Mn |
| Dec 31, 2009 | 1.33 Mn |
| Sep 30, 2009 | 1.21 Mn |
Applied Industrial Technologies Non Operating Interest 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=non-operating-interest-expenses&ticker=AIT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=AIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();