Amrep (AXR) Operating Expenses (2010 - 2026)
Amrep (AXR) posted Operating Expenses of $6.21 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), down 46.9% from $11.71 million a year earlier and down 30.2% from the prior quarter.
Amrep (AXR) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, Operating Expenses at Amrep was $34.96 million, down 0.7% year-over-year; for FY2026 (ended Apr 30, 2026), it came in at $40.46 million, up 7.6% from FY2025.
- Annual Operating Expenses shows a five-year compound annual growth rate of 5.5% (FY2021 to FY2026).
- In prior fiscal years, Amrep's Operating Expenses was $37.59 million in FY2025 (-14.1%), $43.77 million in FY2024 (+2.1%), $42.85 million in FY2023 (+13.9%) and $37.62 million in FY2022 (+21.3%).
- The fiscal Q1 2027 figure stands as the lowest quarterly Operating Expenses since fiscal Q3 2021.
- On a year-over-year basis, Operating Expenses increased in three of the last eight quarters, with an average decline of 8.8%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q1 2025, with growth of 70.6%; the weakest was fiscal Q4 2025, with a decline of 48.6%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $8.9 million (Q4 2026), $11.57 million (Q3 2026) and $8.28 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Horton D R | 38.33 Bn | 29.22 Bn | 2.15 Bn | 991.20 Mn |
| 2 | Pultegroup | 21.75 Bn | 15.04 Bn | 1.06 Bn | 382.97 Mn |
| 3 | Lennar | 17.19 Bn | 6.61 Bn | 807.31 Mn | 7.54 Bn |
| 4 | Nvr | 16.44 Bn | 9.72 Bn | 485.14 Mn | 150.72 Mn |
| 5 | Toll Brothers | 12.42 Bn | 7.81 Bn | 625.22 Mn | 266.07 Mn |
| 6 | Taylor Morrison Home | 6.77 Bn | 4.76 Bn | 290.64 Mn | 58.97 Mn |
| 7 | Champion Homes | 4.74 Bn | 2.22 Bn | - | - |
| 8 | Cavco Industries | 4.34 Bn | 3.09 Bn | - | - |
| 9 | Meritage Homes | 4.10 Bn | 1.02 Bn | 513.60 Mn | 52.38 Mn |
| 10 | Amrep | 120.55 Mn | -76.79 Mn | 2.25 Mn | 6.21 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 6.21 Mn |
| Apr 30, 2026 | 8.90 Mn |
| Jan 31, 2026 | 11.57 Mn |
| Oct 31, 2025 | 8.28 Mn |
| Jul 31, 2025 | 11.71 Mn |
| Apr 30, 2025 | 7.64 Mn |
| Jan 31, 2025 | 7.09 Mn |
| Oct 31, 2024 | 8.76 Mn |
| Jul 31, 2024 | 14.10 Mn |
| Apr 30, 2024 | 14.86 Mn |
| Jan 31, 2024 | 12.84 Mn |
| Oct 31, 2023 | 7.80 Mn |
| Jul 31, 2023 | 8.27 Mn |
| Apr 30, 2023 | 13.44 Mn |
| Jan 31, 2023 | 9.59 Mn |
| Oct 31, 2022 | 11.68 Mn |
| Jul 31, 2022 | 8.14 Mn |
| Apr 30, 2022 | 9.53 Mn |
| Jan 31, 2022 | 8.23 Mn |
| Oct 31, 2021 | 11.75 Mn |
Amrep Operating 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=operating-expenses&ticker=AXR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "AXR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=AXR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();