Miller Industries (MLR) Total Liabilities (2010 - 2026)
Miller Industries' Total Liabilities was $188.96 million in Q2 2026, down 7.5% from $204.34 million a year earlier but up 12.3% from the prior quarter.
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Analysis
Miller Industries (MLR) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Miller Industries came in at $169.1 million, down 36.4% from FY2024.
- Total Liabilities shows a five-year compound annual growth rate of 7.1% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $265.99 million in FY2024 (-11.1%), $299.29 million in FY2023 (+43.9%), $207.97 million in FY2022 (+35.9%) and $153.03 million in FY2021 (+27.7%).
- Quarterly Total Liabilities has moved between $118.76 million (Q3 2021) and $368.28 million (Q2 2024) over five years.
- Compared with a year earlier, Total Liabilities has declined for seven straight quarters, with an average decline of 20.7% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was Q3 2022 (growth of 62.2%); the worst was Q3 2025 (a decline of 49.0%).
- Per Business Quant data, MLR's Total Liabilities in the three quarters before Q2 2026 was $168.33 million (Q1 2026), $169.1 million (Q4 2025) and $183.69 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 83.22 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 29.19 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 79.61 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 35.88 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 15.46 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 11.14 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 21.81 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 31.92 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 13.60 Bn |
| 10 | Miller Industries | 594.51 Mn | 402.78 Mn | 35.94 Mn | 188.96 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 188.96 Mn |
| Mar 31, 2026 | 168.33 Mn |
| Dec 31, 2025 | 169.10 Mn |
| Sep 30, 2025 | 183.69 Mn |
| Jun 30, 2025 | 204.34 Mn |
| Mar 31, 2025 | 233.20 Mn |
| Dec 31, 2024 | 265.99 Mn |
| Sep 30, 2024 | 360.16 Mn |
| Jun 30, 2024 | 368.28 Mn |
| Mar 31, 2024 | 334.17 Mn |
| Dec 31, 2023 | 299.29 Mn |
| Sep 30, 2023 | 255.02 Mn |
| Jun 30, 2023 | 291.28 Mn |
| Mar 31, 2023 | 256.50 Mn |
| Dec 31, 2022 | 207.97 Mn |
| Sep 30, 2022 | 192.66 Mn |
| Jun 30, 2022 | 213.30 Mn |
| Mar 31, 2022 | 182.56 Mn |
| Dec 31, 2021 | 153.03 Mn |
| Sep 30, 2021 | 118.76 Mn |
API Access
Miller 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=MLR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=MLR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();