MDWerks (MDWK) EBITDA (2023 - 2026)
MDWerks (MDWK) reported EBITDA of -$416,289 for Q2 2026, compared with -$1.25 million a year earlier.
Analysis
MDWerks (MDWK) EBITDA (2023 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, MDWerks' EBITDA came in at -$2.81 million; for FY2025, it came in at -$3.42 million.
- By year, EBITDA came in at -$1.21 million in FY2024, -$437,473 in FY2023 and -$153,713 in FY2022.
- The Q2 2026 figure ranks as the highest quarterly EBITDA since Q3 2024.
- Per Business Quant data, the three quarters before Q2 2026 came in at -$770,211 (Q1 2026), -$717,981 (Q4 2025) and -$907,431 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 380.10 Bn | 351.79 Bn | 7.76 Bn | 4.91 Bn |
| 2 | Amphenol | 208.03 Bn | 202.73 Bn | 3.55 Bn | 2.93 Bn |
| 3 | Deere | 183.47 Bn | 192.23 Bn | 4.66 Bn | 2.46 Bn |
| 4 | Eaton | 168.26 Bn | 165.49 Bn | 2.86 Bn | 1.79 Bn |
| 5 | Parker-Hannifin | 122.34 Bn | 120.47 Bn | 2.25 Bn | 1.61 Bn |
| 6 | Vertiv Holdings | 95.63 Bn | 86.25 Bn | 1.23 Bn | 753.70 Mn |
| 7 | Emerson Electric | 87.72 Bn | 80.47 Bn | 2.66 Bn | 1.69 Bn |
| 8 | 3M | 86.87 Bn | 68.33 Bn | 2.68 Bn | 1.32 Bn |
| 9 | Illinois Tool Works | 76.08 Bn | 72.64 Bn | 1.90 Bn | 1.25 Bn |
| 10 | MDWerks | 16.79 Mn | 16.29 Mn | 72,416.00 | -416,289.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -416,289.00 |
| Mar 31, 2026 | -770,211.00 |
| Dec 31, 2025 | -717,981.00 |
| Sep 30, 2025 | -907,431.00 |
| Jun 30, 2025 | -1.25 Mn |
| Mar 31, 2025 | -545,182.00 |
| Dec 31, 2024 | -581,321.00 |
| Sep 30, 2024 | 221,899.00 |
| Jun 30, 2024 | -626,394.00 |
| Mar 31, 2024 | -227,217.00 |
| Dec 31, 2023 | -203,450.00 |
| Sep 30, 2023 | -128,410.00 |
| Jun 30, 2023 | -63,801.00 |
| Mar 31, 2023 | -41,451.00 |
API Access
MDWerks EBITDA 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=ebitda&ticker=MDWK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=MDWK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();