Miller Industries (MLR) Total Current Liabilities (2010 - 2026)
Miller Industries' Total Current Liabilities came in at $184.53 million for Q2 2026, up 26.1% from $146.35 million a year earlier and up 27.7% from the prior quarter.
Miller Industries (MLR) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Miller Industries' Total Current Liabilities was $136.57 million, down 31.0% from FY2024.
- Total Current Liabilities carries a five-year compound annual growth rate of 4.3% (FY2020 to FY2025).
- Going back by year, Total Current Liabilities was $197.87 million in FY2024 (-15.7%), $234.71 million in FY2023 (+50.3%), $156.15 million in FY2022 (+6.2%) and $146.99 million in FY2021 (+32.8%).
- The Q2 2026 figure represents the highest quarterly Total Current Liabilities since Q4 2024.
- Year-over-year, Total Current Liabilities increased in two of the last eight quarters, with an average decline of 15.0%.
- The fastest year-over-year change in Total Current Liabilities over five years came in Q3 2024 (growth of 54.3%), and the weakest in Q3 2025 (a decline of 53.3%).
- Business Quant data shows MLR's Total Current Liabilities at $144.53 million (Q1 2026), $136.57 million (Q4 2025) and $135.78 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 39.79 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 9.44 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | - |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 11.91 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 6.10 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 7.24 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 10.77 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 11.38 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 5.95 Bn |
| 10 | Miller Industries | 594.51 Mn | 402.78 Mn | 35.94 Mn | 184.53 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 184.53 Mn |
| Mar 31, 2026 | 144.53 Mn |
| Dec 31, 2025 | 136.57 Mn |
| Sep 30, 2025 | 135.78 Mn |
| Jun 30, 2025 | 146.35 Mn |
| Mar 31, 2025 | 155.24 Mn |
| Dec 31, 2024 | 197.87 Mn |
| Sep 30, 2024 | 290.79 Mn |
| Jun 30, 2024 | 293.77 Mn |
| Mar 31, 2024 | 274.64 Mn |
| Dec 31, 2023 | 234.71 Mn |
| Sep 30, 2023 | 188.51 Mn |
| Jun 30, 2023 | 224.60 Mn |
| Mar 31, 2023 | 204.77 Mn |
| Dec 31, 2022 | 156.15 Mn |
| Sep 30, 2022 | 137.92 Mn |
| Jun 30, 2022 | 163.43 Mn |
| Mar 31, 2022 | 162.69 Mn |
| Dec 31, 2021 | 146.99 Mn |
| Sep 30, 2021 | 113.72 Mn |
Miller Industries Total Current 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-current-liabilities&ticker=MLR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "ticker": "MLR", "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-current-liabilities&ticker=MLR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();