Applied Industrial Technologies (AIT) Intangibles (2010 - 2026)
Applied Industrial Technologies (AIT) posted Intangibles of $312.81 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 10.3% from $348.6 million a year earlier and down 3.1% from the prior quarter.
Applied Industrial Technologies (AIT) Intangibles (2010 - 2026) Analysis & Trends
Since fiscal Q4 2010, Applied Industrial Technologies has reported Intangibles for 65 quarters.
- Annual Intangibles shows a five-year compound annual growth rate of 2.3% (FY2021 to FY2026).
- In prior fiscal years, Applied Industrial Technologies' Intangibles was $348.6 million in FY2025 (+41.8%), $245.87 million in FY2024 (+4.4%), $235.55 million in FY2023 (-6.0%) and $250.59 million in FY2022 (-10.4%).
- The fiscal Q4 2026 figure stands as the lowest quarterly Intangibles since fiscal Q1 2025.
- On a year-over-year basis, Intangibles has declined in each of the last three quarters, with growth averaging 21.7% over the last eight quarters.
- The strongest year-over-year quarter for Intangibles in the past five years was fiscal Q3 2025, with growth of 58.9%; the weakest was fiscal Q1 2022, with a decline of 17.7%.
- According to Business Quant data, Intangibles for the three prior fiscal quarters was $322.69 million (Q3 2026), $328.79 million (Q2 2026) and $338.9 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 66.45 Bn | 65.21 Bn | 1.73 Bn | 561.00 Mn |
| 2 | W.W. Grainger | 62.58 Bn | 60.18 Bn | 1.98 Bn | 272.00 Mn |
| 3 | Fastenal | 59.02 Bn | 57.94 Bn | 1.06 Bn | - |
| 4 | Ferguson Enterprises | 43.33 Bn | 40.54 Bn | 2.32 Bn | 653.00 Mn |
| 5 | Sunbelt Rentals Holdings | 31.82 Bn | 31.70 Bn | 1.25 Bn | 383.00 Mn |
| 6 | Reliance | 20.64 Bn | 19.68 Bn | 1.30 Bn | 945.00 Mn |
| 7 | Wesco International | 17.76 Bn | 15.08 Bn | 1.46 Bn | 1.72 Bn |
| 8 | Applied Industrial Technologies | 12.45 Bn | 12.32 Bn | 411.22 Mn | 312.81 Mn |
| 9 | Watsco | 11.13 Bn | 8.82 Bn | 578.93 Mn | 205.25 Mn |
| 10 | Avantor | 10.53 Bn | 9.33 Bn | 537.00 Mn | 3.01 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 312.81 Mn |
| Mar 31, 2026 | 322.69 Mn |
| Dec 31, 2025 | 328.79 Mn |
| Sep 30, 2025 | 338.90 Mn |
| Jun 30, 2025 | 348.60 Mn |
| Mar 31, 2025 | 350.95 Mn |
| Dec 31, 2024 | 360.75 Mn |
| Sep 30, 2024 | 242.74 Mn |
| Jun 30, 2024 | 245.87 Mn |
| Mar 31, 2024 | 220.84 Mn |
| Dec 31, 2023 | 227.83 Mn |
| Sep 30, 2023 | 237.10 Mn |
| Jun 30, 2023 | 235.55 Mn |
| Mar 31, 2023 | 243.13 Mn |
| Dec 31, 2022 | 246.74 Mn |
| Sep 30, 2022 | 242.74 Mn |
| Jun 30, 2022 | 250.59 Mn |
| Mar 31, 2022 | 258.50 Mn |
| Dec 31, 2021 | 266.31 Mn |
| Sep 30, 2021 | 274.41 Mn |
Applied Industrial Technologies 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=intangibles&ticker=AIT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=intangibles&ticker=AIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();