MDWerks (MDWK) Other Operating Expenses (2009 - 2026)
MDWerks' Other Operating Expenses came in at -$451,674 for Q2 2026, compared with -$701,906 a year earlier.
MDWerks (MDWK) Other Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, MDWerks reported Other Operating Expenses of -$2.5 million; for FY2025, it came in at -$2.56 million.
- Going back by year, Other Operating Expenses was -$1.43 million in FY2024 and -$123,727 in FY2023.
- The Q2 2026 figure represents the highest quarterly Other Operating Expenses since Q1 2025.
- Business Quant data shows MDWK's Other Operating Expenses at -$570,350 (Q1 2026), -$819,682 (Q4 2025) and -$661,871 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn |
| 10 | MDWerks | 16.79 Mn | 16.29 Mn | 72,416.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 156,678.00 |
| Mar 31, 2026 | 308,342.00 |
| Dec 31, 2025 | 209,704.00 |
| Sep 30, 2025 | 113,352.00 |
| Jun 30, 2025 | 296,888.00 |
| Mar 31, 2025 | 364,897.00 |
| Dec 31, 2024 | 154,490.00 |
| Sep 30, 2024 | 14,046.00 |
| Jun 30, 2024 | 30,240.00 |
| Mar 31, 2024 | 16,148.00 |
| Dec 31, 2023 | 14,490.00 |
| Sep 30, 2023 | 636.00 |
| Jun 30, 2023 | 275.00 |
| Sep 30, 2009 | 597,588.00 |
| Jun 30, 2009 | 926,667.00 |
| Mar 31, 2009 | 768,766.00 |
MDWerks Other 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=other-operating-expenses&ticker=MDWK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "MDWK", "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-operating-expenses&ticker=MDWK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();