Applied Industrial Technologies (AIT) Interest Expenses (2009 - 2010)
Applied Industrial Technologies (AIT) posted Interest Expenses of $17.39 million for FY2026 (year ended Jun 30, 2026), down 4.5% from $18.21 million in FY2025.
Applied Industrial Technologies (AIT) Interest Expenses (2009 - 2010) Analysis & Trends
Since FY2009, Applied Industrial Technologies has reported Interest Expenses for 18 fiscal years.
- Annual Interest Expenses has declined for seven consecutive fiscal years, with a five-year compound annual growth rate of -10.8% (FY2021 to FY2026).
- The FY2026 figure stands as the lowest annual Interest Expenses since FY2017.
- Business Quant data shows AIT's Interest Expenses at $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) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 58.68 Bn | 56.66 Bn | 1.98 Bn | - |
| 2 | Fastenal | 56.84 Bn | 55.76 Bn | 1.06 Bn | 1.20 Mn |
| 3 | Ferguson Enterprises | 43.23 Bn | 40.45 Bn | 2.32 Bn | - |
| 4 | Sunbelt Rentals Holdings | 30.01 Bn | 29.89 Bn | 1.25 Bn | - |
| 5 | Reliance | 19.64 Bn | 18.69 Bn | 1.30 Bn | 18.20 Mn |
| 6 | Wesco International | 17.52 Bn | 14.83 Bn | 1.46 Bn | - |
| 7 | Applied Industrial Technologies | 12.22 Bn | 12.09 Bn | 411.22 Mn | - |
| 8 | Watsco | 10.77 Bn | 8.93 Bn | 578.93 Mn | - |
| 9 | Avantor | 10.19 Bn | 8.98 Bn | 537.00 Mn | 39.40 Mn |
| 10 | Core & Main | 7.65 Bn | 6.95 Bn | 573.00 Mn | 32.00 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 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=interest-expenses&ticker=AIT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=interest-expenses&ticker=AIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();