Applied Industrial Technologies (AIT) Goodwill (2010 - 2026)
Applied Industrial Technologies (AIT) reported Goodwill of $704.51 million for fiscal Q1 2027 (quarter ended Sep 30, 2026), up 0.7% from $699.86 million a year earlier and unchanged from the prior quarter.
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Analysis
Applied Industrial Technologies (AIT) Goodwill (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jun 30, 2026), Applied Industrial Technologies posted Goodwill of $704.7 million, up 0.8% from FY2025.
- Goodwill has increased for six consecutive fiscal years, with a five-year compound annual growth rate of 4.7% (FY2021 to FY2026).
- By fiscal year, Goodwill came in at $699.37 million in FY2025 (+12.9%), $619.4 million in FY2024 (+7.1%), $578.42 million in FY2023 (+2.7%) and $563.21 million in FY2022 (+0.6%).
- Five-year quarterly Goodwill spans a low of $561.48 million in fiscal Q1 2023 and a high of $705 million in fiscal Q3 2026.
- Year over year, Goodwill has now increased in each of the last 16 quarters, with growth averaging 8.1% over the last eight quarters.
- The high point for year-over-year Goodwill in five years was fiscal Q3 2025 (growth of 17.9%); the low point was fiscal Q1 2023 (a decline of 0.2%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $704.7 million (Q4 2026), $705 million (Q3 2026) and $701.42 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | United Rentals | 70.32 Bn | 69.44 Bn | 2.05 Bn |
| 2 | W.W. Grainger | 68.06 Bn | 65.42 Bn | 2.01 Bn |
| 3 | Fastenal | 62.73 Bn | 61.73 Bn | 1.10 Bn |
| 4 | Ferguson Enterprises | 50.77 Bn | 47.99 Bn | 2.32 Bn |
| 5 | Sunbelt Rentals Holdings | 33.62 Bn | 33.50 Bn | 1.25 Bn |
| 6 | Reliance | 21.51 Bn | 20.57 Bn | 1.45 Bn |
| 7 | Wesco International | 15.41 Bn | 12.46 Bn | 1.57 Bn |
| 8 | Watsco | 12.14 Bn | 9.83 Bn | 578.93 Mn |
| 9 | Applied Industrial Technologies | 10.93 Bn | 10.82 Bn | 392.21 Mn |
| 10 | Avantor | 10.79 Bn | 9.37 Bn | 534.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 704.51 Mn |
| Jun 30, 2026 | 704.70 Mn |
| Mar 31, 2026 | 705.00 Mn |
| Dec 31, 2025 | 701.42 Mn |
| Sep 30, 2025 | 699.86 Mn |
| Jun 30, 2025 | 699.37 Mn |
| Mar 31, 2025 | 694.19 Mn |
| Dec 31, 2024 | 686.15 Mn |
| Sep 30, 2024 | 624.22 Mn |
| Jun 30, 2024 | 619.40 Mn |
| Mar 31, 2024 | 588.71 Mn |
| Dec 31, 2023 | 589.36 Mn |
| Sep 30, 2023 | 586.48 Mn |
| Jun 30, 2023 | 578.42 Mn |
| Mar 31, 2023 | 577.24 Mn |
| Dec 31, 2022 | 572.32 Mn |
| Sep 30, 2022 | 561.48 Mn |
| Jun 30, 2022 | 563.21 Mn |
| Mar 31, 2022 | 563.75 Mn |
| Dec 31, 2021 | 562.81 Mn |
API Access
Applied Industrial Technologies Goodwill 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&ticker=AIT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill", "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&ticker=AIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();