Applied Industrial Technologies (AIT) Prepaid Assets (2010 - 2026)
Applied Industrial Technologies' (AIT) quarterly Prepaid Assets came in at $111.4 million in Q2 2026, up 32.56% year-over-year from $84.0 million in Q2 2025, and up 23.13% quarter-over-quarter from $90.5 million in Q1 2026.
Applied Industrial Technologies (AIT) Prepaid Assets (2010 - 2026) Analysis & Trends
Applied Industrial Technologies (AIT) has reported Prepaid Assets for 17 consecutive years, with $111.4 million the latest figure, recorded in Q2 2026.
- On a quarterly basis, Prepaid Assets rose 32.56% year-over-year to $111.4 million in Q2 2026; TTM through Jun 2026 was $111.4 million, a 32.56% increase from a year earlier, with the FY2026 full-year figure at $111.4 million, up 32.56% from the prior year.
- Prepaid Assets was $111.4 million for Q2 2026 at Applied Industrial Technologies, up from $90.5 million in the prior quarter.
- Over five years, Prepaid Assets peaked at $111.4 million in Q2 2026 and troughed at $63.5 million in Q1 2022.
- A 5-year average of $87.0 million and a median of $86.9 million in 2023 frame the typical range for Prepaid Assets.
- Across the five-year window, Prepaid Assets jumped 44.88% in 2023 and slipped 14.15% in 2025, its largest moves.
- Over 5 years, Prepaid Assets stood at $79.2 million in 2022, then rose by 13.39% to $89.8 million in 2023, then advanced by 8.0% to $97.0 million in 2024, then grew by 9.9% to $106.6 million in 2025, then increased by 4.51% to $111.4 million in 2026.
- The last three Prepaid Assets figures came in at $111.4 million (Q2 2026), $90.5 million (Q1 2026), and $106.6 million (Q4 2025), per Business Quant data.
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
| Date | Value |
|---|---|
| Jun 30, 2026 | 111.38 Mn |
| Mar 31, 2026 | 90.46 Mn |
| Dec 31, 2025 | 106.57 Mn |
| Sep 30, 2025 | 71.46 Mn |
| Jun 30, 2025 | 84.02 Mn |
| Mar 31, 2025 | 83.31 Mn |
| Dec 31, 2024 | 96.97 Mn |
| Sep 30, 2024 | 81.95 Mn |
| Jun 30, 2024 | 96.15 Mn |
| Mar 31, 2024 | 97.04 Mn |
| Dec 31, 2023 | 89.79 Mn |
| Sep 30, 2023 | 81.29 Mn |
| Jun 30, 2023 | 93.19 Mn |
| Mar 31, 2023 | 92.00 Mn |
| Dec 31, 2022 | 79.18 Mn |
| Sep 30, 2022 | 78.69 Mn |
| Jun 30, 2022 | 68.81 Mn |
| Mar 31, 2022 | 63.50 Mn |
| Dec 31, 2021 | 68.88 Mn |
| Sep 30, 2021 | 54.45 Mn |
Applied Industrial Technologies Prepaid Assets 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=prepaid-assets&ticker=AIT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=AIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();