MDWerks (MDWK) Total Liabilities (2020 - 2026)
MDWerks' Total Liabilities came in at $3.62 million for Q2 2026, up 6.8% from $3.39 million a year earlier and up 2.9% from the prior quarter.
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Analysis
MDWerks (MDWK) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, MDWerks' Total Liabilities was $3.05 million, up 19.7% from FY2024.
- Total Liabilities carries a five-year compound annual growth rate of 61.7% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $2.55 million in FY2024 (+22.8%), $2.07 million in FY2023, $138,682 in FY2022 (-39.9%) and $230,798 in FY2021 (-16.3%).
- The Q2 2026 figure represents the highest quarterly Total Liabilities in data going back to Q4 2020.
- Year-over-year, Total Liabilities has increased for eight consecutive quarters, with growth averaging 137.4% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q3 2024 (growth of 856.8%), and the weakest in Q3 2022 (a decline of 78.3%).
- Business Quant data shows MDWK's Total Liabilities at $3.52 million (Q1 2026), $3.05 million (Q4 2025) and $3.2 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 268.42 Bn | 239.73 Bn | 7.35 Bn | 85.36 Bn |
| 2 | Amphenol | 200.18 Bn | 194.88 Bn | 4.02 Bn | 29.76 Bn |
| 3 | Deere | 182.33 Bn | 150.42 Bn | 4.66 Bn | 79.61 Bn |
| 4 | Eaton | 139.45 Bn | 136.39 Bn | 3.11 Bn | 36.43 Bn |
| 5 | Parker-Hannifin | 120.96 Bn | 118.84 Bn | 2.26 Bn | 25.86 Bn |
| 6 | 3M | 97.01 Bn | 78.45 Bn | 2.78 Bn | 35.36 Bn |
| 7 | Emerson Electric | 93.92 Bn | 86.65 Bn | 2.66 Bn | 21.81 Bn |
| 8 | Illinois Tool Works | 80.83 Bn | 77.51 Bn | 1.91 Bn | 13.36 Bn |
| 9 | Vertiv Holdings | 75.75 Bn | 64.60 Bn | 1.64 Bn | 12.67 Bn |
| 10 | MDWerks | 16.79 Mn | 16.29 Mn | 72,416.00 | 3.62 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.62 Mn |
| Mar 31, 2026 | 3.52 Mn |
| Dec 31, 2025 | 3.05 Mn |
| Sep 30, 2025 | 3.20 Mn |
| Jun 30, 2025 | 3.39 Mn |
| Mar 31, 2025 | 2.73 Mn |
| Dec 31, 2024 | 2.55 Mn |
| Sep 30, 2024 | 2.01 Mn |
| Jun 30, 2024 | 2.42 Mn |
| Mar 31, 2024 | 1.65 Mn |
| Dec 31, 2023 | 2.07 Mn |
| Sep 30, 2023 | 210,144.00 |
| Jun 30, 2023 | 149,897.00 |
| Mar 31, 2023 | 112,048.00 |
| Dec 31, 2022 | 138,682.00 |
| Sep 30, 2022 | 49,652.00 |
| Jun 30, 2022 | 239,444.00 |
| Mar 31, 2022 | 236,292.00 |
| Dec 31, 2021 | 230,798.00 |
| Sep 30, 2021 | 228,699.00 |
API Access
MDWerks Total Liabilities 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=total-liabilities&ticker=MDWK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=MDWK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();