Miller Industries (MLR) Cash & Equivalents (2010 - 2026)
Miller Industries' Cash & Equivalents was $60.4 million in Q3 2026, up 57.3% from $38.4 million a year earlier and up 8.6% from the prior quarter.
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Analysis
Miller Industries (MLR) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at Miller Industries came in at $44.7 million, up 83.7% from FY2024.
- Cash & Equivalents shows a five-year compound annual growth rate of -4.9% (FY2020 to FY2025).
- In earlier years, Cash & Equivalents was $24.34 million in FY2024 (-18.6%), $29.91 million in FY2023 (-25.5%), $40.15 million in FY2022 (-26.1%) and $54.33 million in FY2021 (-5.5%).
- The Q3 2026 figure marks the highest quarterly Cash & Equivalents in data going back to Q2 2010.
- Compared with a year earlier, Cash & Equivalents has increased for four straight quarters, with growth averaging 40.1% over the last eight quarters.
- The best year-over-year quarter for Cash & Equivalents over five years was Q1 2026 (growth of 93.7%); the worst was Q1 2022 (a decline of 47.9%).
- Per Business Quant data, MLR's Cash & Equivalents in the three quarters before Q3 2026 was $55.64 million (Q2 2026), $53 million (Q1 2026) and $44.7 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 273.06 Bn | 244.37 Bn | 7.35 Bn | 7.93 Bn |
| 2 | Amphenol | 195.98 Bn | 190.68 Bn | 4.02 Bn | 4.17 Bn |
| 3 | Deere | 186.46 Bn | 154.56 Bn | 4.66 Bn | 8.93 Bn |
| 4 | Eaton | 140.64 Bn | 137.57 Bn | 3.11 Bn | 528.00 Mn |
| 5 | Parker-Hannifin | 120.39 Bn | 118.27 Bn | 2.26 Bn | 711.00 Mn |
| 6 | 3M | 97.40 Bn | 78.85 Bn | 2.78 Bn | 4.84 Bn |
| 7 | Emerson Electric | 95.28 Bn | 88.01 Bn | 2.66 Bn | 2.18 Bn |
| 8 | Illinois Tool Works | 81.87 Bn | 78.55 Bn | 1.91 Bn | 809.00 Mn |
| 9 | Vertiv Holdings | 77.65 Bn | 66.50 Bn | 1.64 Bn | 3.51 Bn |
| 10 | Miller Industries | 544.07 Mn | 330.33 Mn | 29.78 Mn | 60.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 60.40 Mn |
| Jun 30, 2026 | 55.64 Mn |
| Mar 31, 2026 | 53.00 Mn |
| Dec 31, 2025 | 44.70 Mn |
| Sep 30, 2025 | 38.40 Mn |
| Jun 30, 2025 | 31.82 Mn |
| Mar 31, 2025 | 27.36 Mn |
| Dec 31, 2024 | 24.34 Mn |
| Sep 30, 2024 | 40.60 Mn |
| Jun 30, 2024 | 23.82 Mn |
| Mar 31, 2024 | 26.81 Mn |
| Dec 31, 2023 | 29.91 Mn |
| Sep 30, 2023 | 26.85 Mn |
| Jun 30, 2023 | 30.50 Mn |
| Mar 31, 2023 | 29.72 Mn |
| Dec 31, 2022 | 40.15 Mn |
| Sep 30, 2022 | 33.21 Mn |
| Jun 30, 2022 | 31.13 Mn |
| Mar 31, 2022 | 29.29 Mn |
| Dec 31, 2021 | 54.33 Mn |
API Access
Miller Industries Cash & Equivalents 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=cash-and-equivalents&ticker=MLR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=MLR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();