Nvr (NVR) Operating Expenses (2009 - 2026)
Nvr (NVR) recorded Operating Expenses of $150.72 million in Q2 2026, up 1.0% from $149.17 million a year earlier but down 4.0% from the prior quarter.
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Analysis
Nvr (NVR) Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Nvr's Operating Expenses came in at $593.07 million as of Jun 30, 2026, down 4.2% year-over-year; for FY2025, it was $599.67 million, up 0.2% from FY2024.
- Annual Operating Expenses has increased for five straight years, with a five-year compound annual growth rate of 6.8% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $598.21 million in FY2024 (+1.6%), $588.96 million in FY2023 (+10.6%), $532.35 million in FY2022 (+12.1%) and $474.81 million in FY2021 (+10.2%).
- Quarterly Operating Expenses has ranged from $112.23 million in Q3 2021 to $165.12 million in Q1 2025 over the past five years.
- On a year-over-year basis, Operating Expenses rose in five of the last eight quarters, with growth averaging 0.4%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 16.8% in Q2 2022, against a decline of 7.8% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $156.97 million (Q1 2026), $142.64 million (Q4 2025) and $142.74 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Horton D R | 39.14 Bn | 30.03 Bn | 2.15 Bn | 991.20 Mn |
| 2 | Pultegroup | 22.34 Bn | 15.63 Bn | 1.06 Bn | 382.97 Mn |
| 3 | Lennar | 17.27 Bn | 6.70 Bn | 807.31 Mn | 7.54 Bn |
| 4 | Nvr | 16.72 Bn | 10.01 Bn | 485.14 Mn | 150.72 Mn |
| 5 | Toll Brothers | 12.58 Bn | 7.96 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 | 4.80 Bn | 2.28 Bn | - | - |
| 8 | Cavco Industries | 4.31 Bn | 3.07 Bn | - | - |
| 9 | Meritage Homes | 4.24 Bn | 1.16 Bn | 513.60 Mn | 52.38 Mn |
| 10 | M | 3.48 Bn | 550.71 Mn | 235.50 Mn | 958.69 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 150.72 Mn |
| Mar 31, 2026 | 156.97 Mn |
| Dec 31, 2025 | 142.64 Mn |
| Sep 30, 2025 | 142.74 Mn |
| Jun 30, 2025 | 149.17 Mn |
| Mar 31, 2025 | 165.12 Mn |
| Dec 31, 2024 | 154.71 Mn |
| Sep 30, 2024 | 149.78 Mn |
| Jun 30, 2024 | 141.21 Mn |
| Mar 31, 2024 | 152.50 Mn |
| Dec 31, 2023 | 154.09 Mn |
| Sep 30, 2023 | 142.72 Mn |
| Jun 30, 2023 | 148.54 Mn |
| Mar 31, 2023 | 143.62 Mn |
| Dec 31, 2022 | 141.00 Mn |
| Sep 30, 2022 | 129.42 Mn |
| Jun 30, 2022 | 132.43 Mn |
| Mar 31, 2022 | 129.51 Mn |
| Dec 31, 2021 | 127.76 Mn |
| Sep 30, 2021 | 112.23 Mn |
API Access
Nvr 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=NVR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "NVR", "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=NVR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();