Mohawk Industries (MHK) Total Liabilities (2009 - 2026)
Mohawk Industries' (MHK) quarterly Total Liabilities came in at $5.3 billion in Q3 2026, down 3.7% year-over-year from $5.5 billion in Q3 2025, and down 2.46% quarter-over-quarter from $5.4 billion in Q2 2026.
Mohawk Industries (MHK) Total Liabilities (2009 - 2026) Analysis & Trends
Mohawk Industries has disclosed Total Liabilities across 18 years of filings, most recently posting $5.3 billion for Q3 2026.
- In Q3 2026, Total Liabilities fell 3.7% year-over-year to $5.3 billion; the TTM figure through Jul 2026 stood at $5.3 billion (down 3.7% YoY), while the FY2025 annual figure was $5.3 billion, up 1.66% from the prior year.
- Total Liabilities came in at $5.3 billion for Q3 2026 at Mohawk Industries, down from $5.4 billion in the prior quarter.
- In the past five years, Total Liabilities ranged from a high of $6.7 billion in Q2 2023 to a low of $5.2 billion in Q4 2024.
- Average Total Liabilities over 5 years is $5.8 billion, with a median of $5.7 billion recorded in 2023.
- Year-over-year, Total Liabilities grew 9.16% in 2023 and fell 11.95% in 2024.
- Over 5 years, Total Liabilities stood at $6.1 billion in 2022, then fell by 2.82% to $5.9 billion in 2023, then slipped by 11.95% to $5.2 billion in 2024, then increased by 1.66% to $5.3 billion in 2025, then declined by 0.57% to $5.3 billion in 2026.
- Per Business Quant data, the three most recent Total Liabilities figures were $5.3 billion in Q3 2026, $5.4 billion in Q2 2026, and $5.3 billion in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Asml Holding | 647.47 Bn | 631.49 Bn | 5.90 Bn | 36.03 Bn |
| 2 | General Electric | 325.83 Bn | 316.71 Bn | 6.95 Bn | 109.81 Bn |
| 3 | Astrazeneca | 257.75 Bn | 252.54 Bn | 12.86 Bn | -65.46 Bn |
| 4 | Citigroup | 221.04 Bn | -2,078.84 Bn | 24.75 Bn | 2,680.20 Bn |
| 5 | Bhp | 219.16 Bn | 200.62 Bn | - | 65.07 Bn |
| 6 | Diageo | 208.21 Bn | 208.26 Bn | - | -33.89 Bn |
| 7 | Rio Tinto | 188.09 Bn | 183.71 Bn | - | -61.80 Bn |
| 8 | Ferrari | 151.21 Bn | 149.46 Bn | 1.18 Bn | 7.62 Bn |
| 9 | Unilever | 134.81 Bn | 130.23 Bn | - | 68.14 Bn |
| 10 | Mohawk Industries | 8.55 Bn | 7.70 Bn | 795.10 Mn | 5.28 Bn |
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 5.28 Bn |
| Apr 4, 2026 | 5.41 Bn |
| Dec 31, 2025 | 5.31 Bn |
| Sep 27, 2025 | 5.28 Bn |
| Jun 28, 2025 | 5.48 Bn |
| Mar 29, 2025 | 5.55 Bn |
| Dec 31, 2024 | 5.22 Bn |
| Sep 28, 2024 | 5.46 Bn |
| Jun 29, 2024 | 5.63 Bn |
| Mar 30, 2024 | 5.88 Bn |
| Dec 31, 2023 | 5.93 Bn |
| Sep 30, 2023 | 5.87 Bn |
| Jul 1, 2023 | 6.37 Bn |
| Apr 1, 2023 | 6.66 Bn |
| Dec 31, 2022 | 6.10 Bn |
| Oct 1, 2022 | 5.98 Bn |
| Jul 2, 2022 | 6.08 Bn |
| Apr 2, 2022 | 6.10 Bn |
| Dec 31, 2021 | 5.80 Bn |
| Oct 2, 2021 | 5.70 Bn |
Mohawk Industries 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=MHK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "MHK", "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=MHK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();