Applied Industrial Technologies (AIT) Total Liabilities (2010 - 2026)
Applied Industrial Technologies (AIT) reported Total Liabilities of $1.1 billion for fiscal Q1 2027 (quarter ended Sep 30, 2026), down 15.5% from $1.3 billion a year earlier and down 4.2% from the prior quarter.
Applied Industrial Technologies (AIT) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jun 30, 2026), Applied Industrial Technologies posted Total Liabilities of $1.15 billion, down 13.7% from FY2025.
- 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%).
- The fiscal Q1 2027 figure ranks as the lowest quarterly Total Liabilities since fiscal Q2 2018.
- Year over year, Total Liabilities has now declined in each of the last three quarters, with an average decline of 1.8% over the last eight quarters.
- 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 Q1 2027 (a decline of 15.5%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $1.15 billion (Q4 2026), $1.13 billion (Q3 2026) and $1.28 billion (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 67.67 Bn | 65.03 Bn | 2.01 Bn | 5.39 Bn |
| 2 | United Rentals | 65.48 Bn | 64.60 Bn | 2.05 Bn | 23.09 Bn |
| 3 | Fastenal | 60.80 Bn | 59.80 Bn | 1.10 Bn | 1.35 Bn |
| 4 | Ferguson Enterprises | 45.51 Bn | 42.73 Bn | 2.32 Bn | 11.92 Bn |
| 5 | Sunbelt Rentals Holdings | 31.50 Bn | 31.38 Bn | 1.25 Bn | 16.17 Bn |
| 6 | Reliance | 21.26 Bn | 20.31 Bn | 1.45 Bn | 3.88 Bn |
| 7 | Wesco International | 14.25 Bn | 11.29 Bn | 1.57 Bn | 13.34 Bn |
| 8 | Watsco | 11.59 Bn | 9.28 Bn | 578.93 Mn | 1.61 Bn |
| 9 | Avantor | 10.49 Bn | 9.07 Bn | 534.80 Mn | 5.79 Bn |
| 10 | Applied Industrial Technologies | 10.39 Bn | 10.28 Bn | 392.21 Mn | 1.10 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.10 Bn |
| 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 |
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();