Applied Industrial Technologies (AIT) Receivables - Net (2010 - 2026)
Applied Industrial Technologies' Receivables - Net was $831.24 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 8.0% from $769.7 million a year earlier and up 4.8% from the prior quarter.
Applied Industrial Technologies (AIT) Receivables - Net (2010 - 2026) Analysis & Trends
From fiscal Q4 2010 onward, Applied Industrial Technologies has reported Receivables - Net for 65 quarters.
- Receivables - Net has now increased for six consecutive fiscal years, with a five-year compound annual growth rate of 10.0% (FY2021 to FY2026).
- In earlier fiscal years, Receivables - Net was $769.7 million in FY2025 (+6.2%), $724.88 million in FY2024 (+2.3%), $708.4 million in FY2023 (+7.9%) and $656.43 million in FY2022 (+27.1%).
- The fiscal Q4 2026 figure marks the highest quarterly Receivables - Net in data going back to fiscal Q4 2010.
- Compared with a year earlier, Receivables - Net has increased for seven straight quarters, with growth averaging 5.1% over the last eight quarters.
- The best year-over-year quarter for Receivables - Net over five years was fiscal Q4 2022 (growth of 27.1%); the worst was fiscal Q1 2025 (a decline of 0.5%).
- Per Business Quant data, AIT's Receivables - Net in the three fiscal quarters before Q4 2026 was $792.85 million (Q3 2026), $706.9 million (Q2 2026) and $753.44 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | W.W. Grainger | 59.11 Bn | 57.09 Bn | 1.98 Bn |
| 2 | Fastenal | 57.94 Bn | 56.86 Bn | 1.06 Bn |
| 3 | Ferguson Enterprises | 44.13 Bn | 41.35 Bn | 2.32 Bn |
| 4 | Sunbelt Rentals Holdings | 30.69 Bn | 30.57 Bn | 1.25 Bn |
| 5 | Reliance | 20.00 Bn | 19.04 Bn | 1.30 Bn |
| 6 | Wesco International | 17.78 Bn | 15.09 Bn | 1.46 Bn |
| 7 | Applied Industrial Technologies | 12.42 Bn | 12.29 Bn | 411.22 Mn |
| 8 | Watsco | 11.14 Bn | 9.30 Bn | 578.93 Mn |
| 9 | Avantor | 10.34 Bn | 9.14 Bn | 537.00 Mn |
| 10 | Core & Main | 7.82 Bn | 7.12 Bn | 573.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 831.24 Mn |
| Mar 31, 2026 | 792.85 Mn |
| Dec 31, 2025 | 706.90 Mn |
| Sep 30, 2025 | 753.44 Mn |
| Jun 30, 2025 | 769.70 Mn |
| Mar 31, 2025 | 754.64 Mn |
| Dec 31, 2024 | 696.24 Mn |
| Sep 30, 2024 | 691.51 Mn |
| Jun 30, 2024 | 724.88 Mn |
| Mar 31, 2024 | 710.20 Mn |
| Dec 31, 2023 | 659.20 Mn |
| Sep 30, 2023 | 694.92 Mn |
| Jun 30, 2023 | 708.40 Mn |
| Mar 31, 2023 | 705.64 Mn |
| Dec 31, 2022 | 654.51 Mn |
| Sep 30, 2022 | 674.14 Mn |
| Jun 30, 2022 | 656.43 Mn |
| Mar 31, 2022 | 618.08 Mn |
| Dec 31, 2021 | 520.13 Mn |
| Sep 30, 2021 | 530.82 Mn |
Applied Industrial Technologies Receivables - Net 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=receivables-net&ticker=AIT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=AIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();