Nobility Homes (NOBH) Other Accumulated Expenses (2011 - 2022)
Nobility Homes (NOBH) posted Other Accumulated Expenses of $1.21 million for fiscal Q4 2022 (quarter ended Nov 5, 2022), up 16.6% from $1.04 million a year earlier.
Nobility Homes (NOBH) Other Accumulated Expenses (2011 - 2022) Analysis & Trends
Since fiscal Q4 2011, Nobility Homes has reported Other Accumulated Expenses for 15 quarters.
- Annual Other Accumulated Expenses shows a four-year compound annual growth rate of 11.8% (FY2018 to FY2022).
- In prior fiscal years, Nobility Homes' Other Accumulated Expenses was $1.04 million in FY2021 (+16.8%), $888,139 in FY2020 (-42.0%), $1.53 million in FY2019 (+98.0%) and $773,639 in FY2018.
- The fiscal Q4 2022 figure stands as the highest quarterly Other Accumulated Expenses since fiscal Q4 2019.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Horton D R | 41.40 Bn | 32.29 Bn | 2.15 Bn |
| 2 | Pultegroup | 22.30 Bn | 15.67 Bn | 1.07 Bn |
| 3 | Lennar | 17.65 Bn | 8.17 Bn | 618.54 Mn |
| 4 | Nvr | 15.93 Bn | 9.22 Bn | 485.14 Mn |
| 5 | Toll Brothers | 12.89 Bn | 8.28 Bn | 625.22 Mn |
| 6 | Champion Homes | 4.36 Bn | 1.84 Bn | - |
| 7 | Meritage Homes | 4.18 Bn | 1.10 Bn | 513.60 Mn |
| 8 | Cavco Industries | 4.13 Bn | 2.89 Bn | - |
| 9 | M | 3.10 Bn | 290.98 Mn | - |
| 10 | Nobility Homes | 85.81 Mn | 38.22 Mn | 3.49 Mn |
Historic Data
| Date | Value |
|---|---|
| Nov 5, 2022 | 1.21 Mn |
| Nov 6, 2021 | 1.04 Mn |
| Oct 31, 2020 | 888,139.00 |
| Nov 2, 2019 | 1.53 Mn |
| Nov 3, 2018 | 773,639.00 |
| Nov 1, 2014 | 235,489.00 |
| Aug 2, 2014 | 520,091.00 |
| May 3, 2014 | 448,549.00 |
| Feb 1, 2014 | 437,291.00 |
| Nov 2, 2013 | 303,878.00 |
| Aug 3, 2013 | 617,542.00 |
| May 4, 2013 | 574,113.00 |
| Feb 2, 2013 | 436,892.00 |
| Nov 3, 2012 | 514,520.00 |
| Nov 5, 2011 | 865,887.00 |
Nobility Homes Other Accumulated Expenses 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=other-accumulated-expenses&ticker=NOBH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=NOBH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();