Mohawk Industries (MHK) Tax Provisions (2009 - 2026)
Mohawk Industries' (MHK) quarterly Tax Provisions came in at $52.3 million in Q3 2026, up 53.82% year-over-year from $34.0 million in Q3 2025, and up 687.64% quarter-over-quarter from -$8.9 million in Q2 2026.
Mohawk Industries (MHK) Tax Provisions (2009 - 2026) Analysis & Trends
Mohawk Industries has disclosed Tax Provisions across 18 years of filings, most recently posting $52.3 million for Q3 2026.
- In Q3 2026, Tax Provisions rose 53.82% year-over-year to $52.3 million; the TTM figure through Jul 2026 stood at $90.7 million (down 17.24% YoY), while the FY2025 annual figure was $98.8 million, down 22.93% from the prior year.
- Tax Provisions came in at $52.3 million for Q3 2026 at Mohawk Industries, up from -$8.9 million in the prior quarter.
- In the past five years, Tax Provisions ranged from a high of $78.2 million in Q3 2022 to a low of -$8.9 million in Q2 2026.
- Average Tax Provisions over 5 years is $28.5 million, with a median of $25.4 million recorded in 2023.
- Year-over-year, Tax Provisions soared 388.48% in 2023 and sank 150.86% in 2026.
- Over 5 years, Tax Provisions stood at $2.9 million in 2022, then soared by 388.48% to $14.2 million in 2023, then rose by 28.87% to $18.3 million in 2024, then soared by 31.15% to $24.0 million in 2025, then surged by 117.92% to $52.3 million in 2026.
- Per Business Quant data, the three most recent Tax Provisions figures were $52.3 million in Q3 2026, -$8.9 million in Q2 2026, and $24.0 million in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Asml Holding | 647.47 Bn | 631.49 Bn | 5.90 Bn | - |
| 2 | General Electric | 325.83 Bn | 316.71 Bn | 6.95 Bn | 407.00 Mn |
| 3 | Astrazeneca | 257.75 Bn | 252.54 Bn | 12.86 Bn | -291.00 Mn |
| 4 | Citigroup | 221.04 Bn | -2,078.84 Bn | 24.75 Bn | 2.01 Bn |
| 5 | Bhp | 219.16 Bn | 200.62 Bn | - | - |
| 6 | Diageo | 208.21 Bn | 208.26 Bn | - | - |
| 7 | Rio Tinto | 188.09 Bn | 183.71 Bn | - | - |
| 8 | Ferrari | 151.21 Bn | 149.46 Bn | 1.18 Bn | 160.68 Mn |
| 9 | Unilever | 134.81 Bn | 130.23 Bn | - | - |
| 10 | Mohawk Industries | 8.55 Bn | 7.70 Bn | 795.10 Mn | 52.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 52.30 Mn |
| Apr 4, 2026 | -8.90 Mn |
| Dec 31, 2025 | 24.00 Mn |
| Sep 27, 2025 | 23.30 Mn |
| Jun 28, 2025 | 34.00 Mn |
| Mar 29, 2025 | 17.50 Mn |
| Dec 31, 2024 | 18.30 Mn |
| Sep 28, 2024 | 39.80 Mn |
| Jun 29, 2024 | 42.30 Mn |
| Mar 30, 2024 | 27.80 Mn |
| Dec 31, 2023 | 14.20 Mn |
| Sep 30, 2023 | 15.00 Mn |
| Jul 1, 2023 | 26.80 Mn |
| Apr 1, 2023 | 28.90 Mn |
| Dec 31, 2022 | 2.91 Mn |
| Oct 1, 2022 | 15.57 Mn |
| Jul 2, 2022 | 78.18 Mn |
| Apr 2, 2022 | 61.45 Mn |
| Dec 31, 2021 | 50.69 Mn |
| Oct 2, 2021 | 73.82 Mn |
Mohawk Industries Tax Provisions 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=tax-provisions&ticker=MHK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=MHK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();