Applied Industrial Technologies (AIT) Long-Term Debt Repayments (2014 - 2026)
Applied Industrial Technologies' Long-Term Debt Repayments was -$3,000 in fiscal Q4 2026 (quarter ended Jun 30, 2026).
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Analysis
Applied Industrial Technologies (AIT) Long-Term Debt Repayments (2014 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Long-Term Debt Repayments at Applied Industrial Technologies came in at $1.39 million, down 94.5% from FY2025.
- Long-Term Debt Repayments has now declined for four consecutive fiscal years, with a five-year compound annual growth rate of -59.8% (FY2021 to FY2026).
- In earlier fiscal years, Long-Term Debt Repayments was $25.11 million in FY2025 (-0.6%), $25.25 million in FY2024 (-37.3%), $40.25 million in FY2023 (-92.7%) and $550.49 million in FY2022 (+317.4%).
- The fiscal Q4 2026 figure marks the lowest quarterly Long-Term Debt Repayments in data going back to fiscal Q4 2014.
- The best year-over-year quarter for Long-Term Debt Repayments over five years was fiscal Q2 2022 (growth of 901.1%); the worst was fiscal Q2 2023 (a decline of 99.9%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 66.45 Bn | 65.21 Bn | 1.73 Bn | 2.15 Bn |
| 2 | W.W. Grainger | 62.58 Bn | 60.18 Bn | 1.98 Bn | 3.00 Mn |
| 3 | Fastenal | 59.02 Bn | 57.94 Bn | 1.06 Bn | 365.00 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 | 1.21 Bn |
| 6 | Reliance | 20.64 Bn | 19.68 Bn | 1.30 Bn | 682.00 Mn |
| 7 | Wesco International | 17.76 Bn | 15.08 Bn | 1.46 Bn | 2.80 Bn |
| 8 | Applied Industrial Technologies | 12.45 Bn | 12.32 Bn | 411.22 Mn | -3,000.00 |
| 9 | Watsco | 11.13 Bn | 8.82 Bn | 578.93 Mn | 1.18 Mn |
| 10 | Avantor | 10.53 Bn | 9.33 Bn | 537.00 Mn | 112.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -3,000.00 |
| Mar 31, 2026 | 183,000.00 |
| Sep 30, 2025 | 1.21 Mn |
| Dec 31, 2024 | 23.90 Mn |
| Sep 30, 2024 | 1.21 Mn |
| Jun 30, 2024 | 63,000.00 |
| Mar 31, 2024 | 63,000.00 |
| Dec 31, 2023 | 24.56 Mn |
| Sep 30, 2023 | 562,000.00 |
| Jun 30, 2023 | 62,000.00 |
| Mar 31, 2023 | 62,000.00 |
| Dec 31, 2022 | 62,000.00 |
| Sep 30, 2022 | 40.06 Mn |
| Jun 30, 2022 | 61,000.00 |
| Mar 31, 2022 | 61,000.00 |
| Dec 31, 2021 | 98.21 Mn |
| Sep 30, 2021 | 9.81 Mn |
| Jun 30, 2021 | 49.81 Mn |
| Mar 31, 2021 | 9.81 Mn |
| Dec 31, 2020 | 9.81 Mn |
API Access
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_KEYimport 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();