Applied Industrial Technologies (AIT) Capital Expenditures (2009 - 2026)
Applied Industrial Technologies' Capital Expenditures came in at $5.25 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 40.9% from $8.89 million a year earlier but up 11.0% from the prior quarter.
Applied Industrial Technologies (AIT) Capital Expenditures (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Applied Industrial Technologies' Capital Expenditures was $23.57 million, down 13.3% from FY2025.
- Capital Expenditures carries a five-year compound annual growth rate of 8.3% (FY2021 to FY2026).
- Going back by fiscal year, Capital Expenditures was $27.19 million in FY2025 (+9.3%), $24.86 million in FY2024 (-6.1%), $26.48 million in FY2023 (+46.1%) and $18.12 million in FY2022 (+14.3%).
- The five-year range for quarterly Capital Expenditures is $3.62 million (fiscal Q1 2022) to $8.89 million (fiscal Q4 2025).
- Year-over-year, Capital Expenditures increased in five of the last eight quarters, with growth averaging 1.9%.
- The fastest year-over-year change in Capital Expenditures over five years came in fiscal Q3 2023 (growth of 91.9%), and the weakest in fiscal Q4 2026 (a decline of 40.9%).
- Business Quant data shows AIT's Capital Expenditures at $4.73 million (Q3 2026), $6.28 million (Q2 2026) and $7.3 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 58.83 Bn | 56.81 Bn | 1.98 Bn | 111.00 Mn |
| 2 | Fastenal | 57.33 Bn | 56.25 Bn | 1.06 Bn | 64.10 Mn |
| 3 | Ferguson Enterprises | 43.46 Bn | 40.68 Bn | 2.32 Bn | 92.00 Mn |
| 4 | Sunbelt Rentals Holdings | 30.25 Bn | 30.13 Bn | 1.25 Bn | 855.00 Mn |
| 5 | Reliance | 19.78 Bn | 18.82 Bn | 1.30 Bn | 93.40 Mn |
| 6 | Wesco International | 17.79 Bn | 15.10 Bn | 1.46 Bn | 28.20 Mn |
| 7 | Applied Industrial Technologies | 12.37 Bn | 12.24 Bn | 411.22 Mn | 5.25 Mn |
| 8 | Watsco | 10.71 Bn | 8.87 Bn | 578.93 Mn | 8.99 Mn |
| 9 | Avantor | 10.31 Bn | 9.11 Bn | 537.00 Mn | 37.60 Mn |
| 10 | Core & Main | 7.69 Bn | 6.99 Bn | 573.00 Mn | 18.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.25 Mn |
| Mar 31, 2026 | 4.73 Mn |
| Dec 31, 2025 | 6.28 Mn |
| Sep 30, 2025 | 7.30 Mn |
| Jun 30, 2025 | 8.89 Mn |
| Mar 31, 2025 | 7.55 Mn |
| Dec 31, 2024 | 5.20 Mn |
| Sep 30, 2024 | 5.55 Mn |
| Jun 30, 2024 | 7.51 Mn |
| Mar 31, 2024 | 7.49 Mn |
| Dec 31, 2023 | 5.52 Mn |
| Sep 30, 2023 | 4.34 Mn |
| Jun 30, 2023 | 5.67 Mn |
| Mar 31, 2023 | 7.99 Mn |
| Dec 31, 2022 | 7.26 Mn |
| Sep 30, 2022 | 5.55 Mn |
| Jun 30, 2022 | 6.45 Mn |
| Mar 31, 2022 | 4.16 Mn |
| Dec 31, 2021 | 3.89 Mn |
| Sep 30, 2021 | 3.62 Mn |
Applied Industrial Technologies Capital Expenditures 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=capital-expenditures&ticker=AIT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=AIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();