NWPX Infrastructure (NWPX) Total Liabilities (2010 - 2026)
NWPX Infrastructure's Total Liabilities came in at $257.29 million for Q3 2026, up 17.5% from $218.88 million a year earlier and up 10.3% from the prior quarter.
NWPX Infrastructure (NWPX) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, NWPX Infrastructure's Total Liabilities was $184.85 million, down 14.3% from FY2024.
- Total Liabilities has declined in each of the last three years, though with a five-year compound annual growth rate of 12.3% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $215.65 million in FY2024 (-16.3%), $257.52 million in FY2023 (-9.0%), $283.07 million in FY2022 (+7.1%) and $264.3 million in FY2021 (+155.6%).
- The Q3 2026 figure represents the highest quarterly Total Liabilities since Q2 2024.
- Year-over-year, Total Liabilities has increased for three consecutive quarters, with an average decline of 6.9% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q2 2022 (growth of 224.0%), and the weakest in Q1 2025 (a decline of 26.9%).
- Business Quant data shows NWPX's Total Liabilities at $233.3 million (Q2 2026), $230.41 million (Q1 2026) and $184.85 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 85.71 Bn | 78.69 Bn | 2.07 Bn | 20.65 Bn |
| 2 | Veralto | 28.52 Bn | 21.15 Bn | 908.00 Mn | 4.99 Bn |
| 3 | Xylem | 22.63 Bn | 18.36 Bn | 907.00 Mn | 7.05 Bn |
| 4 | Badger Meter | 4.51 Bn | 3.92 Bn | 98.85 Mn | 292.52 Mn |
| 5 | Ceco Environmental | 2.29 Bn | 2.11 Bn | 86.47 Mn | 1.65 Bn |
| 6 | NWPX Infrastructure | 887.68 Mn | 845.76 Mn | 38.19 Mn | 257.29 Mn |
| 7 | Energy Recovery | 377.64 Mn | 40.09 Mn | 4.20 Mn | 26.68 Mn |
| 8 | Cadiz | 305.87 Mn | 270.99 Mn | -24,000.00 | 130.10 Mn |
| 9 | AirJoule Technologies | 179.92 Mn | 59.54 Mn | - | 58.20 Mn |
| 10 | LanzaTech Global | 53.29 Mn | -44.34 Mn | 1.91 Mn | 62.06 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 257.29 Mn |
| Jun 30, 2026 | 233.30 Mn |
| Mar 31, 2026 | 230.41 Mn |
| Dec 31, 2025 | 184.85 Mn |
| Sep 30, 2025 | 218.88 Mn |
| Jun 30, 2025 | 213.13 Mn |
| Mar 31, 2025 | 203.78 Mn |
| Dec 31, 2024 | 215.65 Mn |
| Sep 30, 2024 | 254.83 Mn |
| Jun 30, 2024 | 280.56 Mn |
| Mar 31, 2024 | 278.69 Mn |
| Dec 31, 2023 | 257.52 Mn |
| Sep 30, 2023 | 253.95 Mn |
| Jun 30, 2023 | 274.14 Mn |
| Mar 31, 2023 | 261.30 Mn |
| Dec 31, 2022 | 283.07 Mn |
| Sep 30, 2022 | 277.80 Mn |
| Jun 30, 2022 | 289.64 Mn |
| Mar 31, 2022 | 272.52 Mn |
| Dec 31, 2021 | 264.30 Mn |
NWPX Infrastructure Total Liabilities 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=total-liabilities&ticker=NWPX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=NWPX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();