Applied Industrial Technologies (AIT) Enterprise Value (2009 - 2026)
Applied Industrial Technologies' (AIT) quarterly Enterprise Value came in at $12.3 billion in Q2 2026, up 46.4% year-over-year from $8.4 billion in Q2 2025, and up 27.85% quarter-over-quarter from $9.6 billion in Q1 2026.
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Analysis
Applied Industrial Technologies (AIT) Enterprise Value (2009 - 2026) Analysis & Trends
Applied Industrial Technologies (AIT) has reported Enterprise Value for 18 consecutive years, with $12.3 billion the latest figure, recorded in Q2 2026.
- On a quarterly basis, Enterprise Value rose 46.4% year-over-year to $12.3 billion in Q2 2026; TTM through Jun 2026 was $12.3 billion, a 46.4% increase from a year earlier, with the FY2026 full-year figure at $12.3 billion, up 46.4% from the prior year.
- Enterprise Value was $12.3 billion for Q2 2026 at Applied Industrial Technologies, up from $9.6 billion in the prior quarter.
- Over five years, Enterprise Value peaked at $12.3 billion in Q2 2026 and troughed at $3.5 billion in Q2 2022.
- A 5-year average of $7.0 billion and a median of $7.1 billion in 2024 frame the typical range for Enterprise Value.
- Across the five-year window, Enterprise Value surged 49.37% in 2023 and climbed 3.21% in 2025, its largest moves.
- Over 5 years, Enterprise Value stood at $4.7 billion in 2022, then jumped by 33.32% to $6.3 billion in 2023, then jumped by 41.85% to $8.9 billion in 2024, then rose by 3.21% to $9.2 billion in 2025, then jumped by 34.3% to $12.3 billion in 2026.
- The last three Enterprise Value figures came in at $12.3 billion (Q2 2026), $9.6 billion (Q1 2026), and $9.2 billion (Q4 2025), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | W.W. Grainger | 59.74 Bn | 59.53 Bn | 1.98 Bn |
| 2 | Fastenal | 57.47 Bn | 57.26 Bn | 1.06 Bn |
| 3 | Ferguson Enterprises | 42.93 Bn | 42.11 Bn | 2.32 Bn |
| 4 | Sunbelt Rentals Holdings | 31.01 Bn | 30.98 Bn | 1.25 Bn |
| 5 | Reliance | 19.76 Bn | 19.53 Bn | 1.30 Bn |
| 6 | Wesco International | 17.65 Bn | 16.83 Bn | 1.46 Bn |
| 7 | Applied Industrial Technologies | 12.14 Bn | 12.02 Bn | 411.22 Mn |
| 8 | Watsco | 11.58 Bn | 11.60 Bn | 578.93 Mn |
| 9 | Avantor | 10.11 Bn | 9.80 Bn | 537.00 Mn |
| 10 | Core & Main | 7.93 Bn | 7.69 Bn | 573.00 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();