Applied Industrial Technologies (AIT) Other Accumulated Expenses (2009 - 2026)
Applied Industrial Technologies' Other Accumulated Expenses was $167.25 million in fiscal Q1 2027 (quarter ended Sep 30, 2026), up 13.3% from $147.62 million a year earlier and up 3.1% from the prior quarter.
Applied Industrial Technologies (AIT) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jun 30, 2026), Other Accumulated Expenses at Applied Industrial Technologies came in at $162.26 million, up 10.8% from FY2025.
- Other Accumulated Expenses has now increased for five consecutive fiscal years, with a five-year compound annual growth rate of 10.5% (FY2021 to FY2026).
- In earlier fiscal years, Other Accumulated Expenses was $146.4 million in FY2025 (+26.3%), $115.89 million in FY2024 (+1.0%), $114.75 million in FY2023 (+5.4%) and $108.82 million in FY2022 (+10.6%).
- The fiscal Q1 2027 figure marks the highest quarterly Other Accumulated Expenses in data going back to fiscal Q4 2010.
- Compared with a year earlier, Other Accumulated Expenses has increased for eight straight quarters, with growth averaging 17.2% over the last eight quarters.
- The best year-over-year quarter for Other Accumulated Expenses over five years was fiscal Q4 2025 (growth of 26.3%); the worst was fiscal Q3 2024 (a decline of 2.2%).
- Per Business Quant data, AIT's Other Accumulated Expenses in the three fiscal quarters before Q1 2027 was $162.26 million (Q4 2026), $127.04 million (Q3 2026) and $132.85 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | W.W. Grainger | 69.71 Bn | 67.47 Bn | 2.01 Bn |
| 2 | United Rentals | 69.67 Bn | 68.79 Bn | 2.05 Bn |
| 3 | Fastenal | 63.32 Bn | 62.32 Bn | 1.10 Bn |
| 4 | Ferguson Enterprises | 49.80 Bn | 47.02 Bn | 2.32 Bn |
| 5 | Sunbelt Rentals Holdings | 33.71 Bn | 33.59 Bn | 1.25 Bn |
| 6 | Reliance | 21.79 Bn | 20.85 Bn | 1.45 Bn |
| 7 | Wesco International | 15.66 Bn | 12.70 Bn | 1.57 Bn |
| 8 | Qxo | 13.09 Bn | 4.38 Bn | 1.38 Bn |
| 9 | Watsco | 11.10 Bn | 9.17 Bn | 586.29 Mn |
| 10 | Applied Industrial Technologies | 10.86 Bn | 10.75 Bn | 392.21 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 167.25 Mn |
| Jun 30, 2026 | 162.26 Mn |
| Mar 31, 2026 | 127.04 Mn |
| Dec 31, 2025 | 132.85 Mn |
| Sep 30, 2025 | 147.62 Mn |
| Jun 30, 2025 | 146.40 Mn |
| Mar 31, 2025 | 109.65 Mn |
| Dec 31, 2024 | 113.31 Mn |
| Sep 30, 2024 | 118.66 Mn |
| Jun 30, 2024 | 115.89 Mn |
| Mar 31, 2024 | 96.67 Mn |
| Dec 31, 2023 | 97.30 Mn |
| Sep 30, 2023 | 119.15 Mn |
| Jun 30, 2023 | 114.75 Mn |
| Mar 31, 2023 | 98.83 Mn |
| Dec 31, 2022 | 97.74 Mn |
| Sep 30, 2022 | 112.63 Mn |
| Jun 30, 2022 | 108.82 Mn |
| Mar 31, 2022 | 95.03 Mn |
| Dec 31, 2021 | 91.42 Mn |
Applied Industrial Technologies Other Accumulated Expenses 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=other-accumulated-expenses&ticker=AIT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=AIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();