NWPX Infrastructure (NWPX) Total Non-Current Liabilities (2010 - 2026)
NWPX Infrastructure (NWPX) reported Total Non-Current Liabilities of $222.57 million for Q2 2026, up 9.7% from $202.84 million a year earlier and up 1.6% from the prior quarter.
NWPX Infrastructure (NWPX) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, NWPX Infrastructure posted Total Non-Current Liabilities of $174.02 million, down 15.2% from FY2024.
- Total Non-Current Liabilities has declined for three consecutive years, though with a five-year compound annual growth rate of 13.6% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $205.33 million in FY2024 (-16.8%), $246.9 million in FY2023 (-10.4%), $275.41 million in FY2022 (+7.8%) and $255.56 million in FY2021 (+177.2%).
- The Q2 2026 figure ranks as the highest quarterly Total Non-Current Liabilities since Q3 2024.
- Year over year, Total Non-Current Liabilities gained in three of the last eight quarters, with an average decline of 9.6%.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q2 2022 (growth of 259.9%); the low point was Q1 2025 (a decline of 27.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $219.11 million (Q1 2026), $174.02 million (Q4 2025) and $209.07 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 85.71 Bn | 78.69 Bn | 2.07 Bn | 20.17 Bn |
| 2 | Veralto | 28.52 Bn | 21.15 Bn | 908.00 Mn | 4.31 Bn |
| 3 | Xylem | 22.63 Bn | 18.36 Bn | 907.00 Mn | 6.19 Bn |
| 4 | Badger Meter | 4.51 Bn | 3.92 Bn | 98.85 Mn | 144.22 Mn |
| 5 | Ceco Environmental | 2.29 Bn | 2.11 Bn | 86.47 Mn | 1.63 Bn |
| 6 | NWPX Infrastructure | 887.68 Mn | 845.76 Mn | 38.19 Mn | 247.11 Mn |
| 7 | Energy Recovery | 377.64 Mn | 40.09 Mn | 4.20 Mn | 25.47 Mn |
| 8 | Cadiz | 305.87 Mn | 270.99 Mn | -24,000.00 | 95.90 Mn |
| 9 | AirJoule Technologies | 179.92 Mn | 59.54 Mn | - | 4.27 Mn |
| 10 | LanzaTech Global | 53.29 Mn | -44.34 Mn | 1.91 Mn | 62.05 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 247.11 Mn |
| Jun 30, 2026 | 222.57 Mn |
| Mar 31, 2026 | 219.11 Mn |
| Dec 31, 2025 | 174.02 Mn |
| Sep 30, 2025 | 209.07 Mn |
| Jun 30, 2025 | 202.84 Mn |
| Mar 31, 2025 | 193.88 Mn |
| Dec 31, 2024 | 205.33 Mn |
| Sep 30, 2024 | 245.16 Mn |
| Jun 30, 2024 | 270.71 Mn |
| Mar 31, 2024 | 268.21 Mn |
| Dec 31, 2023 | 246.90 Mn |
| Sep 30, 2023 | 244.11 Mn |
| Jun 30, 2023 | 264.82 Mn |
| Mar 31, 2023 | 253.35 Mn |
| Dec 31, 2022 | 275.41 Mn |
| Sep 30, 2022 | 269.32 Mn |
| Jun 30, 2022 | 280.43 Mn |
| Mar 31, 2022 | 263.07 Mn |
| Dec 31, 2021 | 255.56 Mn |
NWPX Infrastructure Total Non-Current 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-non-current-liabilities&ticker=NWPX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=NWPX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();