Miller Industries (MLR) Cash & Equivalents (2010 - 2026)
Miller Industries' Cash & Equivalents was $55.64 million in Q2 2026, up 74.8% from $31.82 million a year earlier and up 5.0% from the prior quarter.
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 Q2 2026 figure marks the highest quarterly Cash & Equivalents since Q1 2021.
- Compared with a year earlier, Cash & Equivalents has increased for three straight quarters, with growth averaging 39.4% 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 Q2 2026 was $53 million (Q1 2026), $44.7 million (Q4 2025) and $38.4 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 379.87 Bn | 351.57 Bn | 7.76 Bn | 6.71 Bn |
| 2 | Amphenol | 211.41 Bn | 206.11 Bn | 3.55 Bn | 4.73 Bn |
| 3 | Deere | 179.93 Bn | 188.69 Bn | 4.66 Bn | 8.93 Bn |
| 4 | Eaton | 169.93 Bn | 167.16 Bn | 2.86 Bn | 483.00 Mn |
| 5 | Parker-Hannifin | 121.78 Bn | 119.91 Bn | 2.25 Bn | 501.00 Mn |
| 6 | Vertiv Holdings | 94.75 Bn | 85.37 Bn | 1.23 Bn | 2.81 Bn |
| 7 | Emerson Electric | 88.42 Bn | 81.17 Bn | 2.66 Bn | 2.18 Bn |
| 8 | 3M | 84.08 Bn | 65.54 Bn | 2.68 Bn | 2.96 Bn |
| 9 | Illinois Tool Works | 74.29 Bn | 70.85 Bn | 1.90 Bn | 839.00 Mn |
| 10 | Miller Industries | 604.39 Mn | 412.65 Mn | 35.94 Mn | 55.64 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 50.41 Mn |
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_KEY
import 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();