Applied Industrial Technologies (AIT) Amortizatization of Intangibles (2009 - 2026)
Applied Industrial Technologies (AIT) reported Amortizatization of Intangibles of $9.86 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 3.3% from $10.2 million a year earlier and down 0.3% from the prior quarter.
Applied Industrial Technologies (AIT) Amortizatization of Intangibles (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Applied Industrial Technologies posted Amortizatization of Intangibles of $40.07 million, up 12.6% from FY2025.
- Amortizatization of Intangibles has a five-year compound annual growth rate of 3.1% (FY2021 to FY2026).
- By fiscal year, Amortizatization of Intangibles came in at $35.58 million in FY2025 (+23.0%), $28.92 million in FY2024 (-6.1%), $30.81 million in FY2023 (-3.4%) and $31.88 million in FY2022 (-7.2%).
- The fiscal Q4 2026 figure ranks as the lowest quarterly Amortizatization of Intangibles since fiscal Q2 2025.
- Year over year, Amortizatization of Intangibles gained in six of the last eight quarters, with growth averaging 19.4%.
- The high point for year-over-year Amortizatization of Intangibles in five years was fiscal Q3 2025 (growth of 47.0%); the low point was fiscal Q1 2022 (a decline of 16.5%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $9.88 million (Q3 2026), $10.13 million (Q2 2026) and $10.2 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 67.37 Bn | 66.13 Bn | 1.73 Bn | - |
| 2 | W.W. Grainger | 60.32 Bn | 58.30 Bn | 1.98 Bn | - |
| 3 | Fastenal | 58.24 Bn | 57.16 Bn | 1.06 Bn | 2.70 Mn |
| 4 | Ferguson Enterprises | 43.34 Bn | 40.56 Bn | 2.32 Bn | - |
| 5 | Sunbelt Rentals Holdings | 31.62 Bn | 31.50 Bn | 1.25 Bn | - |
| 6 | Reliance | 20.43 Bn | 19.48 Bn | 1.30 Bn | - |
| 7 | Wesco International | 18.60 Bn | 15.91 Bn | 1.46 Bn | - |
| 8 | Applied Industrial Technologies | 12.64 Bn | 12.52 Bn | 411.22 Mn | 9.86 Mn |
| 9 | Watsco | 10.59 Bn | 8.75 Bn | 578.93 Mn | - |
| 10 | Avantor | 10.38 Bn | 9.17 Bn | 537.00 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.86 Mn |
| Mar 31, 2026 | 9.88 Mn |
| Dec 31, 2025 | 10.13 Mn |
| Sep 30, 2025 | 10.20 Mn |
| Jun 30, 2025 | 10.20 Mn |
| Mar 31, 2025 | 10.22 Mn |
| Dec 31, 2024 | 7.57 Mn |
| Sep 30, 2024 | 7.60 Mn |
| Jun 30, 2024 | 7.32 Mn |
| Mar 31, 2024 | 6.95 Mn |
| Dec 31, 2023 | 7.26 Mn |
| Sep 30, 2023 | 7.39 Mn |
| Jun 30, 2023 | 7.62 Mn |
| Mar 31, 2023 | 7.67 Mn |
| Dec 31, 2022 | 7.81 Mn |
| Sep 30, 2022 | 7.71 Mn |
| Jun 30, 2022 | 7.78 Mn |
| Mar 31, 2022 | 7.89 Mn |
| Dec 31, 2021 | 8.08 Mn |
| Sep 30, 2021 | 8.12 Mn |
Applied Industrial Technologies Amortizatization of Intangibles 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=amortizatization-of-intangibles&ticker=AIT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "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=amortizatization-of-intangibles&ticker=AIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();