NWPX Infrastructure (NWPX) Operating Expenses (2010 - 2026)
NWPX Infrastructure (NWPX) reported Operating Expenses of $13.21 million for Q2 2026, up 8.9% from $12.13 million a year earlier but down 5.7% from the prior quarter.
NWPX Infrastructure (NWPX) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, NWPX Infrastructure's Operating Expenses came in at $54.06 million, up 9.3% year-over-year; for FY2025, it was $52.77 million, up 11.9% from FY2024.
- Operating Expenses has increased for eight consecutive years, with a five-year compound annual growth rate of 16.2% (FY2020 to FY2025).
- By year, Operating Expenses came in at $47.16 million in FY2024 (+7.7%), $43.78 million in FY2023 (+6.7%), $41.03 million in FY2022 (+45.4%) and $28.22 million in FY2021 (+13.1%).
- Five-year quarterly Operating Expenses spans a low of $5.56 million in Q3 2021 and a high of $14.01 million in Q1 2026.
- Year over year, Operating Expenses has now increased in each of the last four quarters, with growth averaging 10.5% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q3 2022 (growth of 91.5%); the low point was Q3 2023 (a decline of 3.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $14.01 million (Q1 2026), $13.73 million (Q4 2025) and $13.11 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 77.88 Bn | 69.66 Bn | 1.95 Bn | 1.14 Bn |
| 2 | Veralto | 23.60 Bn | 16.25 Bn | 902.00 Mn | 587.00 Mn |
| 3 | Xylem | 23.57 Bn | 19.05 Bn | 963.00 Mn | 573.00 Mn |
| 4 | Badger Meter | 3.65 Bn | 2.92 Bn | 90.77 Mn | 51.40 Mn |
| 5 | Ceco Environmental | 3.06 Bn | 2.89 Bn | 86.47 Mn | 109.35 Mn |
| 6 | NWPX Infrastructure | 986.65 Mn | 948.13 Mn | 34.36 Mn | 13.21 Mn |
| 7 | Energy Recovery | 345.43 Mn | 20.59 Mn | 8.96 Mn | 14.84 Mn |
| 8 | Cadiz | 301.30 Mn | 269.74 Mn | -24,000.00 | 9.81 Mn |
| 9 | AirJoule Technologies | 289.72 Mn | 169.35 Mn | - | 5.04 Mn |
| 10 | LanzaTech Global | 77.10 Mn | -38.04 Mn | 1.91 Mn | 18.89 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.21 Mn |
| Mar 31, 2026 | 14.01 Mn |
| Dec 31, 2025 | 13.73 Mn |
| Sep 30, 2025 | 13.11 Mn |
| Jun 30, 2025 | 12.13 Mn |
| Mar 31, 2025 | 13.80 Mn |
| Dec 31, 2024 | 11.94 Mn |
| Sep 30, 2024 | 11.58 Mn |
| Jun 30, 2024 | 12.20 Mn |
| Mar 31, 2024 | 11.44 Mn |
| Dec 31, 2023 | 10.67 Mn |
| Sep 30, 2023 | 10.24 Mn |
| Jun 30, 2023 | 11.02 Mn |
| Mar 31, 2023 | 11.87 Mn |
| Dec 31, 2022 | 10.89 Mn |
| Sep 30, 2022 | 10.65 Mn |
| Jun 30, 2022 | 10.13 Mn |
| Mar 31, 2022 | 9.37 Mn |
| Dec 31, 2021 | 10.49 Mn |
| Sep 30, 2021 | 5.56 Mn |
NWPX Infrastructure 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=NWPX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "NWPX", "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=NWPX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();