Nobility Homes (NOBH) Retained Earnings (2011 - 2026)
Nobility Homes' Retained Earnings came in at $79.59 million for fiscal Q3 2026 (quarter ended Aug 1, 2026), up 3.8% from $76.69 million a year earlier and up 2.4% from the prior quarter.
Nobility Homes (NOBH) Retained Earnings (2011 - 2026) Analysis & Trends
At the end of FY2025 (ended Nov 1, 2025), Nobility Homes' Retained Earnings was $79.04 million, up 5.8% from FY2024.
- Retained Earnings has increased in each of the last 14 fiscal years, with a five-year compound annual growth rate of 6.4% (FY2020 to FY2025).
- Going back by fiscal year, Retained Earnings was $74.68 million in FY2024 (+5.2%), $70.97 million in FY2023 (+11.9%), $63.44 million in FY2022 (+6.2%) and $59.74 million in FY2021 (+3.0%).
- The five-year range for quarterly Retained Earnings is $58.82 million (fiscal Q2 2022) to $80.67 million (fiscal Q1 2026).
- Year-over-year, Retained Earnings has increased for 52 consecutive quarters, with growth averaging 5.0% over the last eight quarters.
- Across the past five years, year-over-year growth in Retained Earnings ran from 3.0% in fiscal Q2 2022 to 13.1% in fiscal Q3 2023.
- Business Quant data shows NOBH's Retained Earnings at $77.7 million (Q2 2026), $80.67 million (Q1 2026) and $79.04 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Horton D R | 39.23 Bn | 29.53 Bn | 2.15 Bn | 32.80 Bn |
| 2 | Pultegroup | 21.49 Bn | 14.78 Bn | 1.06 Bn | - |
| 3 | Lennar | 18.48 Bn | 8.85 Bn | 618.54 Mn | 22.92 Bn |
| 4 | Nvr | 15.99 Bn | 9.28 Bn | 485.14 Mn | 16.82 Bn |
| 5 | Toll Brothers | 12.69 Bn | 8.07 Bn | 625.22 Mn | 9.25 Bn |
| 6 | Champion Homes | 4.23 Bn | 1.71 Bn | - | 975.95 Mn |
| 7 | Cavco Industries | 4.02 Bn | 2.77 Bn | - | 1.39 Bn |
| 8 | Meritage Homes | 3.91 Bn | 831.07 Mn | 513.60 Mn | 5.06 Bn |
| 9 | M | 2.95 Bn | 20.36 Mn | 235.50 Mn | 3.41 Bn |
| 10 | Nobility Homes | 85.81 Mn | 38.22 Mn | 3.49 Mn | 79.59 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 79.59 Mn |
| May 2, 2026 | 77.70 Mn |
| Jan 31, 2026 | 80.67 Mn |
| Nov 1, 2025 | 79.04 Mn |
| Aug 2, 2025 | 76.69 Mn |
| May 3, 2025 | 74.86 Mn |
| Feb 1, 2025 | 76.66 Mn |
| Nov 2, 2024 | 74.68 Mn |
| Aug 3, 2024 | 72.62 Mn |
| May 4, 2024 | 70.43 Mn |
| Feb 3, 2024 | 73.31 Mn |
| Nov 4, 2023 | 70.97 Mn |
| Aug 5, 2023 | 68.65 Mn |
| May 6, 2023 | 65.99 Mn |
| Feb 4, 2023 | 66.50 Mn |
| Nov 5, 2022 | 63.44 Mn |
| Aug 6, 2022 | 60.71 Mn |
| May 7, 2022 | 58.82 Mn |
| Feb 5, 2022 | 60.90 Mn |
| Nov 6, 2021 | 59.74 Mn |
Nobility Homes 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=NOBH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "ticker": "NOBH", "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=NOBH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();