Applied Industrial Technologies (AIT) Revenue (2009 - 2026)
Applied Industrial Technologies' (AIT) quarterly Revenue came in at $1.4 billion in Q2 2026, up 10.45% year-over-year from $1.2 billion in Q2 2025, and up 8.09% quarter-over-quarter from $1.3 billion in Q1 2026.
Applied Industrial Technologies (AIT) Revenue (2009 - 2026) Analysis & Trends
Applied Industrial Technologies (AIT) has reported Revenue for 18 consecutive years, with $1.4 billion the latest figure, recorded in Q2 2026.
- On a quarterly basis, Revenue rose 10.45% year-over-year to $1.4 billion in Q2 2026; TTM through Jun 2026 was $5.0 billion, a 8.84% increase from a year earlier, with the FY2026 full-year figure at $5.0 billion, up 8.84% from the prior year.
- Revenue was $1.4 billion for Q2 2026 at Applied Industrial Technologies, up from $1.3 billion in the prior quarter.
- Over five years, Revenue peaked at $1.4 billion in Q2 2026 and troughed at $980.7 million in Q1 2022.
- A 5-year average of $1.1 billion and a median of $1.1 billion in 2023 frame the typical range for Revenue.
- Across the five-year window, Revenue rose 20.92% in 2022 and slipped 0.39% in 2024, its largest moves.
- Over 5 years, Revenue stood at $1.1 billion in 2022, then climbed by 1.59% to $1.1 billion in 2023, then decreased by 0.39% to $1.1 billion in 2024, then gained by 8.39% to $1.2 billion in 2025, then grew by 16.31% to $1.4 billion in 2026.
- The last three Revenue figures came in at $1.4 billion (Q2 2026), $1.3 billion (Q1 2026), and $1.2 billion (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 59.74 Bn | 59.53 Bn | 1.98 Bn | 5.02 Bn |
| 2 | Fastenal | 57.47 Bn | 57.26 Bn | 1.06 Bn | 2.39 Bn |
| 3 | Ferguson Enterprises | 42.93 Bn | 42.11 Bn | 2.32 Bn | 7.47 Bn |
| 4 | Sunbelt Rentals Holdings | 31.01 Bn | 30.98 Bn | 1.25 Bn | 3.12 Bn |
| 5 | Reliance | 19.76 Bn | 19.53 Bn | 1.30 Bn | 4.63 Bn |
| 6 | Wesco International | 17.65 Bn | 16.83 Bn | 1.46 Bn | 6.67 Bn |
| 7 | Applied Industrial Technologies | 12.14 Bn | 12.02 Bn | 411.22 Mn | 1.35 Bn |
| 8 | Watsco | 11.58 Bn | 11.60 Bn | 578.93 Mn | 2.10 Bn |
| 9 | Avantor | 10.11 Bn | 9.80 Bn | 537.00 Mn | 1.69 Bn |
| 10 | Core & Main | 7.93 Bn | 7.69 Bn | 573.00 Mn | 2.15 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.35 Bn |
| Mar 31, 2026 | 1.25 Bn |
| Dec 31, 2025 | 1.16 Bn |
| Sep 30, 2025 | 1.20 Bn |
| Jun 30, 2025 | 1.22 Bn |
| Mar 31, 2025 | 1.17 Bn |
| Dec 31, 2024 | 1.07 Bn |
| Sep 30, 2024 | 1.10 Bn |
| Jun 30, 2024 | 1.16 Bn |
| Mar 31, 2024 | 1.15 Bn |
| Dec 31, 2023 | 1.08 Bn |
| Sep 30, 2023 | 1.10 Bn |
| Jun 30, 2023 | 1.16 Bn |
| Mar 31, 2023 | 1.13 Bn |
| Dec 31, 2022 | 1.06 Bn |
| Sep 30, 2022 | 1.06 Bn |
| Jun 30, 2022 | 1.06 Bn |
| Mar 31, 2022 | 980.66 Mn |
| Dec 31, 2021 | 876.87 Mn |
| Sep 30, 2021 | 891.68 Mn |
Applied Industrial Technologies Revenue 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=revenue&ticker=AIT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=AIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();