SPX Technologies (SPXC) Total Non-Current Liabilities (2009 - 2026)
SPX Technologies (SPXC) reported Total Non-Current Liabilities of $986.8 million for Q2 2026, down 24.4% from $1.31 billion a year earlier and down 11.3% from the prior quarter.
SPX Technologies (SPXC) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, SPX Technologies posted Total Non-Current Liabilities of $906 million, down 0.6% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of -4.2% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $911.8 million in FY2024 (+8.0%), $843.9 million in FY2023 (+62.9%), $517.9 million in FY2022 (-52.3%) and $1.09 billion in FY2021 (-3.1%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $501.4 million in Q1 2023 and a high of $1.31 billion in Q2 2025.
- Year over year, Total Non-Current Liabilities has now declined in each of the last four quarters, with growth averaging 9.0% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q1 2024 (growth of 73.0%); the low point was Q1 2023 (a decline of 52.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.11 billion (Q1 2026), $906 million (Q4 2025) and $866.4 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 101.48 Bn | 96.22 Bn | 2.26 Bn | 13.62 Bn |
| 2 | Johnson Controls International | 94.41 Bn | 94.45 Bn | 2.71 Bn | 13.64 Bn |
| 3 | Carrier Global | 47.67 Bn | 42.30 Bn | 1.94 Bn | 21.79 Bn |
| 4 | Comfort Systems Usa | 45.09 Bn | 39.05 Bn | 934.48 Mn | 6.28 Bn |
| 5 | Otis Worldwide | 28.22 Bn | 24.83 Bn | 1.14 Bn | 16.58 Bn |
| 6 | Allegion | 15.36 Bn | 15.36 Bn | - | - |
| 7 | James Hardie Industries | 15.27 Bn | 14.34 Bn | 548.70 Mn | 6.83 Bn |
| 8 | Masco | 14.82 Bn | 12.92 Bn | 868.00 Mn | 5.38 Bn |
| 9 | Carlisle Companies | 13.90 Bn | 10.24 Bn | 568.40 Mn | 4.36 Bn |
| 10 | SPX Technologies | 8.26 Bn | 7.35 Bn | 272.80 Mn | 986.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 986.80 Mn |
| Mar 28, 2026 | 1.11 Bn |
| Dec 31, 2025 | 906.00 Mn |
| Sep 27, 2025 | 866.40 Mn |
| Jun 28, 2025 | 1.31 Bn |
| Mar 29, 2025 | 1.21 Bn |
| Dec 31, 2024 | 911.80 Mn |
| Sep 28, 2024 | 1.00 Bn |
| Jun 29, 2024 | 866.00 Mn |
| Mar 30, 2024 | 867.30 Mn |
| Dec 31, 2023 | 843.90 Mn |
| Sep 30, 2023 | 832.40 Mn |
| Jul 1, 2023 | 839.40 Mn |
| Apr 1, 2023 | 501.40 Mn |
| Dec 31, 2022 | 517.90 Mn |
| Oct 1, 2022 | 1.03 Bn |
| Jul 2, 2022 | 1.03 Bn |
| Apr 2, 2022 | 1.06 Bn |
| Dec 31, 2021 | 1.09 Bn |
| Oct 2, 2021 | 952.00 Mn |
SPX Technologies 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=SPXC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "SPXC", "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=SPXC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();