Mohawk Industries (MHK) Change in Accured Expenses (2009 - 2026)
Mohawk Industries (MHK) posted Change in Accured Expenses of $90.7 million for Q2 2026, compared with -$30.8 million a year earlier and up 13.0% from the prior quarter.
Mohawk Industries (MHK) Change in Accured Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jul 4, 2026, Change in Accured Expenses at Mohawk Industries was $161.5 million, up 614.6% year-over-year; for FY2025, it came in at $71.5 million, up 63.2% from FY2024.
- Annual Change in Accured Expenses shows a five-year compound annual growth rate of -22.5% (FY2020 to FY2025).
- In prior years, Mohawk Industries' Change in Accured Expenses was $43.8 million in FY2024, -$194 million in FY2023, -$94.1 million in FY2022 and $360.79 million in FY2021 (+41.2%).
- The Q2 2026 figure stands as the highest quarterly Change in Accured Expenses since Q1 2025.
- On a year-over-year basis, Change in Accured Expenses increased in two of the last four quarters, with growth averaging 13.5%.
- According to Business Quant data, Change in Accured Expenses for the three prior quarters was $80.3 million (Q1 2026), -$89.7 million (Q4 2025) and $80.2 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 98.76 Bn | 93.48 Bn | 2.26 Bn | - |
| 2 | Johnson Controls International | 87.60 Bn | 85.33 Bn | 2.47 Bn | 701.00 Mn |
| 3 | Carrier Global | 46.72 Bn | 41.03 Bn | 1.94 Bn | 280.00 Mn |
| 4 | Comfort Systems Usa | 40.67 Bn | 34.63 Bn | 934.48 Mn | 465.94 Mn |
| 5 | Otis Worldwide | 28.79 Bn | 25.20 Bn | 1.14 Bn | 49.00 Mn |
| 6 | Allegion | 15.35 Bn | 14.06 Bn | 517.50 Mn | - |
| 7 | James Hardie Industries | 15.17 Bn | 14.23 Bn | 548.70 Mn | -10.80 Mn |
| 8 | Masco | 15.15 Bn | 13.01 Bn | 868.00 Mn | 92.00 Mn |
| 9 | Carlisle Companies | 13.87 Bn | 10.22 Bn | 568.40 Mn | - |
| 10 | Mohawk Industries | 7.59 Bn | 4.49 Bn | 795.10 Mn | 90.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 90.70 Mn |
| Apr 4, 2026 | 80.30 Mn |
| Dec 31, 2025 | -89.70 Mn |
| Sep 27, 2025 | 80.20 Mn |
| Jun 28, 2025 | -30.80 Mn |
| Mar 29, 2025 | 111.80 Mn |
| Dec 31, 2024 | -98.50 Mn |
| Sep 28, 2024 | 40.10 Mn |
| Jun 29, 2024 | 17.40 Mn |
| Mar 30, 2024 | 84.80 Mn |
| Dec 31, 2023 | -189.60 Mn |
| Sep 30, 2023 | 79.60 Mn |
| Jul 1, 2023 | -50.90 Mn |
| Apr 1, 2023 | -33.10 Mn |
| Dec 31, 2022 | -256.94 Mn |
| Oct 1, 2022 | -13.23 Mn |
| Jul 2, 2022 | 136.17 Mn |
| Apr 2, 2022 | 39.91 Mn |
| Dec 31, 2021 | -20.84 Mn |
| Oct 2, 2021 | 102.65 Mn |
Mohawk Industries Change in Accured 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=change-in-accured-expenses&ticker=MHK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=MHK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();