Applied Industrial Technologies (AIT) Receivables (2010 - 2026)
Applied Industrial Technologies' Receivables was $822.29 million in fiscal Q1 2027 (quarter ended Sep 30, 2026), up 9.1% from $753.44 million a year earlier but down 1.1% from the prior quarter.
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Analysis
Applied Industrial Technologies (AIT) Receivables (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jun 30, 2026), Receivables at Applied Industrial Technologies came in at $831.24 million, up 8.0% from FY2025.
- Receivables 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 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%).
- Quarterly Receivables has moved between $520.13 million (fiscal Q2 2022) and $831.24 million (fiscal Q4 2026) over five years.
- Compared with a year earlier, Receivables has increased for eight straight quarters, with growth averaging 6.3% over the last eight quarters.
- The best year-over-year quarter for Receivables 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 in the three fiscal quarters before Q1 2027 was $831.24 million (Q4 2026), $792.85 million (Q3 2026) and $706.9 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 70.32 Bn | 69.44 Bn | 2.05 Bn | 3.10 Bn |
| 2 | W.W. Grainger | 68.06 Bn | 65.42 Bn | 2.01 Bn | 2.88 Bn |
| 3 | Fastenal | 62.73 Bn | 61.73 Bn | 1.10 Bn | 1.62 Bn |
| 4 | Ferguson Enterprises | 50.77 Bn | 47.99 Bn | 2.32 Bn | 3.67 Bn |
| 5 | Sunbelt Rentals Holdings | 33.62 Bn | 33.50 Bn | 1.25 Bn | 2.11 Bn |
| 6 | Reliance | 21.51 Bn | 20.57 Bn | 1.45 Bn | 2.48 Bn |
| 7 | Wesco International | 15.41 Bn | 12.46 Bn | 1.57 Bn | 5.05 Bn |
| 8 | Watsco | 12.14 Bn | 9.83 Bn | 578.93 Mn | 1.06 Bn |
| 9 | Applied Industrial Technologies | 10.93 Bn | 10.82 Bn | 392.21 Mn | 822.29 Mn |
| 10 | Avantor | 10.79 Bn | 9.37 Bn | 534.80 Mn | 1.12 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 822.29 Mn |
| 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 |
API Access
Applied Industrial Technologies Receivables 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&ticker=AIT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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&ticker=AIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();