Arts Way Manufacturing (ARTW) Operating Expenses (2010 - 2026)
Arts Way Manufacturing's Operating Expenses was $1.75 million in fiscal Q2 2026 (quarter ended May 31, 2026), up 12.7% from $1.55 million a year earlier and up 10.4% from the prior quarter.
Arts Way Manufacturing (ARTW) Operating Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Arts Way Manufacturing's Operating Expenses was $6.26 million through May 31, 2026, down 0.6% year-over-year; for FY2025 (ended Nov 30, 2025), it came in at $5.98 million, down 12.7% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of -1.1% (FY2020 to FY2025).
- In earlier fiscal years, Operating Expenses was $6.85 million in FY2024 (-2.9%), $7.05 million in FY2023 (+11.3%), $6.33 million in FY2022 (+4.3%) and $6.07 million in FY2021 (-3.7%).
- The fiscal Q2 2026 figure marks the highest quarterly Operating Expenses since fiscal Q1 2024.
- Compared with a year earlier, Operating Expenses was higher in two of the last eight quarters, with an average decline of 6.7%.
- The best year-over-year quarter for Operating Expenses over five years was fiscal Q3 2023 (growth of 25.6%); the worst was fiscal Q1 2025 (a decline of 19.4%).
- Per Business Quant data, ARTW's Operating Expenses in the three fiscal quarters before Q2 2026 was $1.58 million (Q1 2026), $1.51 million (Q4 2025) and $1.42 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 16.25 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 963.40 Mn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 1.46 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 490.50 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 1.34 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 5.52 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | - |
| 10 | Arts Way Manufacturing | 16.23 Mn | 16.21 Mn | 2.03 Mn | 1.75 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 1.75 Mn |
| Feb 28, 2026 | 1.58 Mn |
| Nov 30, 2025 | 1.51 Mn |
| Aug 31, 2025 | 1.42 Mn |
| May 31, 2025 | 1.55 Mn |
| Feb 28, 2025 | 1.49 Mn |
| Nov 30, 2024 | 1.71 Mn |
| Aug 31, 2024 | 1.55 Mn |
| May 31, 2024 | 1.74 Mn |
| Feb 29, 2024 | 1.85 Mn |
| Nov 30, 2023 | 1.83 Mn |
| Aug 31, 2023 | 1.83 Mn |
| May 31, 2023 | 1.75 Mn |
| Feb 28, 2023 | 1.64 Mn |
| Nov 30, 2022 | 1.69 Mn |
| Aug 31, 2022 | 1.46 Mn |
| May 31, 2022 | 1.87 Mn |
| Feb 28, 2022 | 1.63 Mn |
| Nov 30, 2021 | 1.51 Mn |
| Aug 31, 2021 | 1.58 Mn |
Arts Way Manufacturing Operating 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=operating-expenses&ticker=ARTW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ARTW", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=ARTW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();