Applied Industrial Technologies (AIT) Goodwill & Intangibles (2009 - 2026)
Applied Industrial Technologies (AIT) reported Goodwill & Intangibles of $1.01 billion for fiscal Q1 2027 (quarter ended Sep 30, 2026), down 3.0% from $1.04 billion a year earlier and down 1.0% from the prior quarter.
Applied Industrial Technologies (AIT) Goodwill & Intangibles (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jun 30, 2026), Applied Industrial Technologies posted Goodwill & Intangibles of $1.02 billion, down 2.9% from FY2025.
- Goodwill & Intangibles has a five-year compound annual growth rate of 3.9% (FY2021 to FY2026).
- By fiscal year, Goodwill & Intangibles came in at $1.05 billion in FY2025 (+21.1%), $865.27 million in FY2024 (+6.3%), $813.97 million in FY2023 (unchanged) and $813.8 million in FY2022 (-3.1%).
- The fiscal Q1 2027 figure ranks as the lowest quarterly Goodwill & Intangibles since fiscal Q1 2025.
- Year over year, Goodwill & Intangibles has now declined in each of the last four quarters, with growth averaging 11.1% over the last eight quarters.
- The high point for year-over-year Goodwill & Intangibles in five years was fiscal Q3 2025 (growth of 29.1%); the low point was fiscal Q1 2023 (a decline of 3.9%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $1.02 billion (Q4 2026), $1.03 billion (Q3 2026) and $1.03 billion (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | W.W. Grainger | 69.71 Bn | 67.47 Bn | 2.01 Bn |
| 2 | United Rentals | 69.67 Bn | 68.79 Bn | 2.05 Bn |
| 3 | Fastenal | 63.32 Bn | 62.32 Bn | 1.10 Bn |
| 4 | Ferguson Enterprises | 49.80 Bn | 47.02 Bn | 2.32 Bn |
| 5 | Sunbelt Rentals Holdings | 33.71 Bn | 33.59 Bn | 1.25 Bn |
| 6 | Reliance | 21.79 Bn | 20.85 Bn | 1.45 Bn |
| 7 | Wesco International | 15.66 Bn | 12.70 Bn | 1.57 Bn |
| 8 | Qxo | 13.09 Bn | 4.38 Bn | 1.38 Bn |
| 9 | Watsco | 11.10 Bn | 9.17 Bn | 586.29 Mn |
| 10 | Applied Industrial Technologies | 10.86 Bn | 10.75 Bn | 392.21 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.01 Bn |
| Jun 30, 2026 | 1.02 Bn |
| Mar 31, 2026 | 1.03 Bn |
| Dec 31, 2025 | 1.03 Bn |
| Sep 30, 2025 | 1.04 Bn |
| Jun 30, 2025 | 1.05 Bn |
| Mar 31, 2025 | 1.05 Bn |
| Dec 31, 2024 | 1.05 Bn |
| Sep 30, 2024 | 866.96 Mn |
| Jun 30, 2024 | 865.27 Mn |
| Mar 31, 2024 | 809.55 Mn |
| Dec 31, 2023 | 817.19 Mn |
| Sep 30, 2023 | 823.58 Mn |
| Jun 30, 2023 | 813.97 Mn |
| Mar 31, 2023 | 820.37 Mn |
| Dec 31, 2022 | 819.06 Mn |
| Sep 30, 2022 | 804.22 Mn |
| Jun 30, 2022 | 813.80 Mn |
| Mar 31, 2022 | 822.25 Mn |
| Dec 31, 2021 | 829.13 Mn |
Applied Industrial Technologies Goodwill & 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=goodwill-and-intangibles&ticker=AIT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-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=goodwill-and-intangibles&ticker=AIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();