Miller Industries (MLR) Retained Earnings (2010 - 2026)
Miller Industries' Retained Earnings was $271.84 million in Q2 2026, up 1.9% from $266.88 million a year earlier and up 1.8% from the prior quarter.
Miller Industries (MLR) Retained Earnings (2010 - 2026) Analysis & Trends
At the end of FY2025, Retained Earnings at Miller Industries came in at $268.8 million, up 5.4% from FY2024.
- Retained Earnings has now increased for 14 consecutive years, with a five-year compound annual growth rate of 15.6% (FY2020 to FY2025).
- In earlier years, Retained Earnings was $254.94 million in FY2024 (+27.4%), $200.17 million in FY2023 (+33.3%), $150.12 million in FY2022 (+8.8%) and $138 million in FY2021 (+6.2%).
- The Q2 2026 figure marks the highest quarterly Retained Earnings in data going back to Q4 2010.
- Compared with a year earlier, Retained Earnings has increased for 56 straight quarters, with growth averaging 14.3% over the last eight quarters.
- Across the past five years, year-over-year growth in Retained Earnings ran from 0.2% in Q2 2022 to 37.1% in Q2 2024.
- Per Business Quant data, MLR's Retained Earnings in the three quarters before Q2 2026 was $266.97 million (Q1 2026), $268.8 million (Q4 2025) and $267.68 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 70.14 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 11.64 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 62.17 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 11.53 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 24.49 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 1.87 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 41.58 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 38.63 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 30.81 Bn |
| 10 | Miller Industries | 594.51 Mn | 402.78 Mn | 35.94 Mn | 271.84 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 271.84 Mn |
| Mar 31, 2026 | 266.97 Mn |
| Dec 31, 2025 | 268.80 Mn |
| Sep 30, 2025 | 267.68 Mn |
| Jun 30, 2025 | 266.88 Mn |
| Mar 31, 2025 | 260.72 Mn |
| Dec 31, 2024 | 254.94 Mn |
| Sep 30, 2024 | 246.58 Mn |
| Jun 30, 2024 | 233.33 Mn |
| Mar 31, 2024 | 215.01 Mn |
| Dec 31, 2023 | 200.17 Mn |
| Sep 30, 2023 | 185.54 Mn |
| Jun 30, 2023 | 170.14 Mn |
| Mar 31, 2023 | 157.29 Mn |
| Dec 31, 2022 | 150.12 Mn |
| Sep 30, 2022 | 142.89 Mn |
| Jun 30, 2022 | 139.71 Mn |
| Mar 31, 2022 | 138.01 Mn |
| Dec 31, 2021 | 138.00 Mn |
| Sep 30, 2021 | 141.26 Mn |
Miller Industries Retained Earnings 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=retained-earnings&ticker=MLR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=MLR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();