Applied Industrial Technologies (AIT) Total Debt (2010 - 2026)
Applied Industrial Technologies (AIT) reported Total Debt of $282.3 million for fiscal Q1 2027 (quarter ended Sep 30, 2026), down 50.7% from $572.3 million a year earlier but up 7.6% from the prior quarter.
Applied Industrial Technologies (AIT) Total Debt (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jun 30, 2026), Applied Industrial Technologies posted Total Debt of $262.3 million, down 54.2% from FY2025.
- Total Debt has declined for eight consecutive fiscal years, with a five-year compound annual growth rate of -20.5% (FY2021 to FY2026).
- By fiscal year, Total Debt came in at $572.3 million in FY2025 (-4.2%), $597.33 million in FY2024 (-4.0%), $622.1 million in FY2023 (-9.8%) and $689.32 million in FY2022 (-16.8%).
- Five-year quarterly Total Debt spans a low of $262.3 million in fiscal Q4 2026 and a high of $721.45 million in fiscal Q2 2022.
- Year over year, Total Debt has now declined in each of the last three quarters, with an average decline of 19.7% over the last eight quarters.
- Over the past five years, the year-over-year decline in Total Debt ranged from 0.0% (fiscal Q2 2026) to 54.2% (fiscal Q4 2026).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $262.3 million (Q4 2026), $365.3 million (Q3 2026) and $572.3 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 70.32 Bn | 69.44 Bn | 2.05 Bn | 14.67 Bn |
| 2 | W.W. Grainger | 68.06 Bn | 65.42 Bn | 2.01 Bn | 2.69 Bn |
| 3 | Fastenal | 62.73 Bn | 61.73 Bn | 1.10 Bn | 100.00 Mn |
| 4 | Ferguson Enterprises | 50.77 Bn | 47.99 Bn | 2.32 Bn | 4.13 Bn |
| 5 | Sunbelt Rentals Holdings | 33.62 Bn | 33.50 Bn | 1.25 Bn | 8.56 Bn |
| 6 | Reliance | 21.51 Bn | 20.57 Bn | 1.45 Bn | 1.64 Bn |
| 7 | Wesco International | 15.41 Bn | 12.46 Bn | 1.57 Bn | 6.01 Bn |
| 8 | Watsco | 12.14 Bn | 9.83 Bn | 578.93 Mn | 119.72 Mn |
| 9 | Applied Industrial Technologies | 10.93 Bn | 10.82 Bn | 392.21 Mn | 282.30 Mn |
| 10 | Avantor | 10.79 Bn | 9.37 Bn | 534.80 Mn | 3.68 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 282.30 Mn |
| Jun 30, 2026 | 262.30 Mn |
| Mar 31, 2026 | 365.30 Mn |
| Dec 31, 2025 | 572.30 Mn |
| Sep 30, 2025 | 572.30 Mn |
| Jun 30, 2025 | 572.30 Mn |
| Mar 31, 2025 | 572.30 Mn |
| Dec 31, 2024 | 572.30 Mn |
| Sep 30, 2024 | 597.29 Mn |
| Jun 30, 2024 | 597.33 Mn |
| Mar 31, 2024 | 596.97 Mn |
| Dec 31, 2023 | 597.01 Mn |
| Sep 30, 2023 | 622.05 Mn |
| Jun 30, 2023 | 622.10 Mn |
| Mar 31, 2023 | 622.20 Mn |
| Dec 31, 2022 | 649.24 Mn |
| Sep 30, 2022 | 649.28 Mn |
| Jun 30, 2022 | 689.32 Mn |
| Mar 31, 2022 | 721.36 Mn |
| Dec 31, 2021 | 721.45 Mn |
Applied Industrial Technologies Total Debt 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=total-debt&ticker=AIT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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=total-debt&ticker=AIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();