Applied Industrial Technologies (AIT) Enterprise Value (2009 - 2026)
Applied Industrial Technologies' Enterprise Value was $12.01 billion in fiscal Q1 2027 (quarter ended Sep 30, 2026), up 27.4% from $9.43 billion a year earlier but down 2.5% from the prior quarter.
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Analysis
Applied Industrial Technologies (AIT) Enterprise Value (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Enterprise Value at Applied Industrial Technologies came in at $12.32 billion, up 46.4% from FY2025.
- 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%).
- Quarterly Enterprise Value has moved between $3.52 billion (fiscal Q4 2022) and $12.32 billion (fiscal Q4 2026) over five years.
- Compared with a year earlier, Enterprise Value has increased for 24 straight quarters, with growth averaging 23.5% over the last eight quarters.
- The year-over-year growth in Enterprise Value has ranged between 3.2% (fiscal Q2 2026) and 49.4% (fiscal Q4 2023) over the last five years.
- Per Business Quant data, AIT's Enterprise Value in the three fiscal quarters before Q1 2027 was $12.32 billion (Q4 2026), $9.63 billion (Q3 2026) and $9.17 billion (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | United Rentals | 73.34 Bn | 72.46 Bn | 2.05 Bn |
| 2 | W.W. Grainger | 65.22 Bn | 62.82 Bn | 1.98 Bn |
| 3 | Fastenal | 60.31 Bn | 59.31 Bn | 1.10 Bn |
| 4 | Ferguson Enterprises | 46.98 Bn | 44.19 Bn | 2.32 Bn |
| 5 | Sunbelt Rentals Holdings | 34.35 Bn | 34.23 Bn | 1.25 Bn |
| 6 | Reliance | 22.84 Bn | 21.89 Bn | 1.45 Bn |
| 7 | Wesco International | 16.33 Bn | 13.38 Bn | 1.57 Bn |
| 8 | Watsco | 12.05 Bn | 12.05 Bn | 586.29 Mn |
| 9 | Applied Industrial Technologies | 10.95 Bn | 10.83 Bn | 392.21 Mn |
| 10 | Avantor | 10.57 Bn | 9.16 Bn | 534.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 12.01 Bn |
| 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 |
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();