Applied Industrial Technologies (AIT) Enterprise Value (2009 - 2026)
Applied Industrial Technologies' Enterprise Value was $12.32 billion in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 46.4% from $8.41 billion a year earlier and up 27.9% from the prior quarter.
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Analysis
Applied Industrial Technologies (AIT) Enterprise Value (2009 - 2026) Analysis & Trends
From fiscal Q1 2010 onward, Applied Industrial Technologies has reported Enterprise Value for 68 quarters.
- Enterprise Value has now increased for six consecutive fiscal years, with a five-year compound annual growth rate of 30.5% (FY2021 to FY2026).
- In earlier fiscal years, Enterprise Value was $8.41 billion in FY2025 (+20.4%), $6.99 billion in FY2024 (+33.0%), $5.25 billion in FY2023 (+49.4%) and $3.52 billion in FY2022 (+8.3%).
- The fiscal Q4 2026 figure marks the highest quarterly Enterprise Value in data going back to fiscal Q1 2010.
- Compared with a year earlier, Enterprise Value has increased for 23 straight quarters, with growth averaging 25.5% over the last eight quarters.
- The year-over-year growth in Enterprise Value has ranged between 3.2% (fiscal Q2 2026) and 72.6% (fiscal Q1 2022) over the last five years.
- Per Business Quant data, AIT's Enterprise Value in the three fiscal quarters before Q4 2026 was $9.63 billion (Q3 2026), $9.17 billion (Q2 2026) and $9.43 billion (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | United Rentals | 66.45 Bn | 65.21 Bn | 1.73 Bn |
| 2 | W.W. Grainger | 62.58 Bn | 60.18 Bn | 1.98 Bn |
| 3 | Fastenal | 59.02 Bn | 57.94 Bn | 1.06 Bn |
| 4 | Ferguson Enterprises | 43.33 Bn | 40.54 Bn | 2.32 Bn |
| 5 | Sunbelt Rentals Holdings | 31.82 Bn | 31.70 Bn | 1.25 Bn |
| 6 | Reliance | 20.64 Bn | 19.68 Bn | 1.30 Bn |
| 7 | Wesco International | 17.76 Bn | 15.08 Bn | 1.46 Bn |
| 8 | Applied Industrial Technologies | 12.45 Bn | 12.32 Bn | 411.22 Mn |
| 9 | Watsco | 11.13 Bn | 8.82 Bn | 578.93 Mn |
| 10 | Avantor | 10.53 Bn | 9.33 Bn | 537.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.32 Bn |
| Mar 31, 2026 | 9.63 Bn |
| Dec 31, 2025 | 9.17 Bn |
| Sep 30, 2025 | 9.43 Bn |
| Jun 30, 2025 | 8.41 Bn |
| Mar 31, 2025 | 8.23 Bn |
| Dec 31, 2024 | 8.89 Bn |
| Sep 30, 2024 | 8.04 Bn |
| Jun 30, 2024 | 6.99 Bn |
| Mar 31, 2024 | 7.17 Bn |
| Dec 31, 2023 | 6.26 Bn |
| Sep 30, 2023 | 5.63 Bn |
| Jun 30, 2023 | 5.25 Bn |
| Mar 31, 2023 | 5.31 Bn |
| Dec 31, 2022 | 4.70 Bn |
| Sep 30, 2022 | 3.82 Bn |
| Jun 30, 2022 | 3.52 Bn |
| Mar 31, 2022 | 3.76 Bn |
| Dec 31, 2021 | 3.79 Bn |
| Sep 30, 2021 | 3.22 Bn |
API Access
Applied Industrial Technologies Enterprise Value 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=enterprise-value&ticker=AIT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=AIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();