Applied Industrial Technologies (AIT) Long-Term Debt Repayments (2014 - 2026)
Applied Industrial Technologies' Long-Term Debt Repayments was $20.31 million in fiscal Q1 2027 (quarter ended Sep 30, 2026), compared with $1.21 million a year earlier.
Applied Industrial Technologies (AIT) Long-Term Debt Repayments (2014 - 2026) Analysis & Trends
On a trailing twelve-month basis, Applied Industrial Technologies' Long-Term Debt Repayments was $20.49 million through Sep 30, 2026, down 22.0% year-over-year; for FY2026 (ended Jun 30, 2026), it was $1.39 million, down 94.7% from FY2025.
- Long-Term Debt Repayments shows a five-year compound annual growth rate of -59.9% (FY2021 to FY2026).
- In earlier fiscal years, Long-Term Debt Repayments was $26.32 million in FY2025 (+1.5%), $25.93 million in FY2024 (-37.9%), $41.76 million in FY2023 (-92.4%) and $552.85 million in FY2022 (+311.9%).
- The fiscal Q1 2027 figure marks the highest quarterly Long-Term Debt Repayments since fiscal Q2 2025.
- The best year-over-year quarter for Long-Term Debt Repayments over five years was fiscal Q2 2022 (growth of 841.8%); the worst was fiscal Q4 2022 (a decline of 99.9%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 73.34 Bn | 72.46 Bn | 2.05 Bn | 2.50 Bn |
| 2 | W.W. Grainger | 65.22 Bn | 62.82 Bn | 1.98 Bn | 3.00 Mn |
| 3 | Fastenal | 60.31 Bn | 59.31 Bn | 1.10 Bn | 335.00 Mn |
| 4 | Ferguson Enterprises | 46.98 Bn | 44.19 Bn | 2.32 Bn | - |
| 5 | Sunbelt Rentals Holdings | 34.35 Bn | 34.23 Bn | 1.25 Bn | 1.21 Bn |
| 6 | Reliance | 22.84 Bn | 21.89 Bn | 1.45 Bn | 696.00 Mn |
| 7 | Wesco International | 16.33 Bn | 13.38 Bn | 1.57 Bn | 2.13 Bn |
| 8 | Watsco | 12.05 Bn | 12.05 Bn | 586.29 Mn | - |
| 9 | Applied Industrial Technologies | 10.95 Bn | 10.83 Bn | 392.21 Mn | 20.31 Mn |
| 10 | Avantor | 10.57 Bn | 9.16 Bn | 534.80 Mn | 63.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 20.31 Mn |
| Jun 30, 2026 | -3,000.00 |
| Mar 31, 2026 | 183,000.00 |
| Sep 30, 2025 | 1.21 Mn |
| Dec 31, 2024 | 25.04 Mn |
| Sep 30, 2024 | 1.27 Mn |
| Jun 30, 2024 | 63,000.00 |
| Mar 31, 2024 | 63,000.00 |
| Dec 31, 2023 | 25.18 Mn |
| Sep 30, 2023 | 624,000.00 |
| Jun 30, 2023 | 62,000.00 |
| Mar 31, 2023 | 62,000.00 |
| Dec 31, 2022 | 912,000.00 |
| Sep 30, 2022 | 40.72 Mn |
| Jun 30, 2022 | 61,000.00 |
| Mar 31, 2022 | 1.35 Mn |
| Dec 31, 2021 | 98.21 Mn |
| Sep 30, 2021 | 9.95 Mn |
| Jun 30, 2021 | 49.81 Mn |
| Mar 31, 2021 | 11.02 Mn |
Applied Industrial Technologies Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=AIT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=AIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();