Arts Way Manufacturing (ARTW) Accumulated Expenses (2010 - 2026)
Arts Way Manufacturing (ARTW) posted Accumulated Expenses of $1.09 million for fiscal Q2 2026 (quarter ended May 31, 2026), up 13.9% from $960,079 a year earlier and up 13.5% from the prior quarter.
Arts Way Manufacturing (ARTW) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Nov 30, 2025), Arts Way Manufacturing's Accumulated Expenses came in at $1.33 million, up 1.8% from FY2024.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 0.7% (FY2020 to FY2025).
- In prior fiscal years, Arts Way Manufacturing's Accumulated Expenses was $1.3 million in FY2024 (-6.8%), $1.4 million in FY2023 (+20.4%), $1.16 million in FY2022 (-0.1%) and $1.16 million in FY2021 (-9.1%).
- Quarterly Accumulated Expenses has run from a low of $856,888 in fiscal Q1 2025 to a high of $1.4 million in fiscal Q4 2023 over five years.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last three quarters, with an average decline of 2.5% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was fiscal Q1 2023, with growth of 27.7%; the weakest was fiscal Q1 2024, with a decline of 21.3%.
- According to Business Quant data, Accumulated Expenses for the three prior fiscal quarters was $963,443 (Q1 2026), $1.33 million (Q4 2025) and $933,965 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 379.87 Bn | 351.57 Bn | 7.76 Bn |
| 2 | Amphenol | 211.41 Bn | 206.11 Bn | 3.55 Bn |
| 3 | Deere | 179.93 Bn | 188.69 Bn | 4.66 Bn |
| 4 | Eaton | 169.93 Bn | 167.16 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 121.78 Bn | 119.91 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 94.75 Bn | 85.37 Bn | 1.23 Bn |
| 7 | Emerson Electric | 88.42 Bn | 81.17 Bn | 2.66 Bn |
| 8 | 3M | 84.08 Bn | 65.54 Bn | 2.68 Bn |
| 9 | Illinois Tool Works | 74.29 Bn | 70.85 Bn | 1.90 Bn |
| 10 | Arts Way Manufacturing | 15.60 Mn | 15.58 Mn | 2.03 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 1.09 Mn |
| Feb 28, 2026 | 963,443.00 |
| Nov 30, 2025 | 1.33 Mn |
| Aug 31, 2025 | 933,965.00 |
| May 31, 2025 | 960,079.00 |
| Feb 28, 2025 | 856,888.00 |
| Nov 30, 2024 | 1.30 Mn |
| Aug 31, 2024 | 1.11 Mn |
| May 31, 2024 | 1.02 Mn |
| Feb 29, 2024 | 1.02 Mn |
| Nov 30, 2023 | 1.40 Mn |
| Aug 31, 2023 | 1.14 Mn |
| May 31, 2023 | 1.23 Mn |
| Feb 28, 2023 | 1.30 Mn |
| Nov 30, 2022 | 1.16 Mn |
| Aug 31, 2022 | 1.27 Mn |
| May 31, 2022 | 982,959.00 |
| Feb 28, 2022 | 1.02 Mn |
| Nov 30, 2021 | 1.16 Mn |
| Aug 31, 2021 | 1.23 Mn |
Arts Way Manufacturing 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=accumulated-expenses&ticker=ARTW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=ARTW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();