Applied Industrial Technologies (AIT) Total Liabilities (2010 - 2026)
Applied Industrial Technologies (AIT) reported Total Liabilities of $1.15 billion for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 13.7% from $1.33 billion a year earlier but up 1.7% from the prior quarter.
Applied Industrial Technologies (AIT) Total Liabilities (2010 - 2026) Analysis & Trends
Dating back to fiscal Q4 2010, Applied Industrial Technologies' Total Liabilities record includes 65 quarters.
- Total Liabilities has a five-year compound annual growth rate of -3.0% (FY2021 to FY2026).
- By fiscal year, Total Liabilities came in at $1.33 billion in FY2025 (+5.4%), $1.26 billion in FY2024 (-1.7%), $1.28 billion in FY2023 (-1.4%) and $1.3 billion in FY2022 (-2.7%).
- Five-year quarterly Total Liabilities spans a low of $1.13 billion in fiscal Q3 2026 and a high of $1.33 billion in fiscal Q4 2025.
- Year over year, Total Liabilities gained in six of the last eight quarters, with growth averaging 0.5%.
- The high point for year-over-year Total Liabilities in five years was fiscal Q3 2025 (growth of 8.6%); the low point was fiscal Q4 2026 (a decline of 13.7%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $1.13 billion (Q3 2026), $1.28 billion (Q2 2026) and $1.3 billion (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 59.11 Bn | 57.09 Bn | 1.98 Bn | 5.11 Bn |
| 2 | Fastenal | 57.94 Bn | 56.86 Bn | 1.06 Bn | 1.22 Bn |
| 3 | Ferguson Enterprises | 44.13 Bn | 41.35 Bn | 2.32 Bn | 11.92 Bn |
| 4 | Sunbelt Rentals Holdings | 30.69 Bn | 30.57 Bn | 1.25 Bn | 16.17 Bn |
| 5 | Reliance | 20.00 Bn | 19.04 Bn | 1.30 Bn | 3.75 Bn |
| 6 | Wesco International | 17.78 Bn | 15.09 Bn | 1.46 Bn | 12.59 Bn |
| 7 | Applied Industrial Technologies | 12.42 Bn | 12.29 Bn | 411.22 Mn | 1.15 Bn |
| 8 | Watsco | 11.14 Bn | 9.30 Bn | 578.93 Mn | 1.61 Bn |
| 9 | Avantor | 10.34 Bn | 9.14 Bn | 537.00 Mn | 5.97 Bn |
| 10 | Core & Main | 7.82 Bn | 7.12 Bn | 573.00 Mn | 4.61 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.15 Bn |
| Mar 31, 2026 | 1.13 Bn |
| Dec 31, 2025 | 1.28 Bn |
| Sep 30, 2025 | 1.30 Bn |
| Jun 30, 2025 | 1.33 Bn |
| Mar 31, 2025 | 1.29 Bn |
| Dec 31, 2024 | 1.25 Bn |
| Sep 30, 2024 | 1.25 Bn |
| Jun 30, 2024 | 1.26 Bn |
| Mar 31, 2024 | 1.19 Bn |
| Dec 31, 2023 | 1.17 Bn |
| Sep 30, 2023 | 1.21 Bn |
| Jun 30, 2023 | 1.28 Bn |
| Mar 31, 2023 | 1.23 Bn |
| Dec 31, 2022 | 1.23 Bn |
| Sep 30, 2022 | 1.25 Bn |
| Jun 30, 2022 | 1.30 Bn |
| Mar 31, 2022 | 1.29 Bn |
| Dec 31, 2021 | 1.20 Bn |
| Sep 30, 2021 | 1.33 Bn |
Applied Industrial Technologies Total Liabilities 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-liabilities&ticker=AIT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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-liabilities&ticker=AIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();