SPX Technologies (SPXC) Net Long-Term Debt Issued (Repaid) (2009 - 2026)
SPX Technologies' Non-Current Debt came in at $530.5 million for Q2 2026, down 44.2% from $950.3 million a year earlier and down 17.6% from the prior quarter.
SPX Technologies (SPXC) Net Long-Term Debt Issued (Repaid) (2009 - 2026) Analysis & Trends
At the end of FY2025, SPX Technologies' Non-Current Debt was $496.7 million, down 13.9% from FY2024.
- Non-Current Debt carries a five-year compound annual growth rate of 10.3% (FY2020 to FY2025).
- Going back by year, Non-Current Debt was $577 million in FY2024 (+10.3%), $523.1 million in FY2023 (+115.3%), $243 million in FY2022 (+5.3%) and $230.8 million in FY2021 (-24.1%).
- The five-year range for quarterly Non-Current Debt is $224.5 million (Q2 2022) to $950.3 million (Q2 2025).
- Year-over-year, Non-Current Debt has declined for four consecutive quarters, with growth averaging 10.2% over the last eight quarters.
- The fastest year-over-year change in Non-Current Debt over five years came in Q2 2023 (growth of 137.5%), and the weakest in Q2 2026 (a decline of 44.2%).
- Business Quant data shows SPXC's Non-Current Debt at $643.7 million (Q1 2026), $496.7 million (Q4 2025) and $499.8 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 101.98 Bn | 96.70 Bn | 2.26 Bn | - |
| 2 | Johnson Controls International | 94.46 Bn | 92.19 Bn | 2.47 Bn | 229.00 Mn |
| 3 | Carrier Global | 47.93 Bn | 42.23 Bn | 1.94 Bn | -24.00 Mn |
| 4 | Comfort Systems Usa | 45.24 Bn | 39.19 Bn | 934.48 Mn | -15.39 Mn |
| 5 | Otis Worldwide | 28.39 Bn | 24.81 Bn | 1.14 Bn | - |
| 6 | Allegion | 15.49 Bn | 15.49 Bn | - | - |
| 7 | James Hardie Industries | 15.29 Bn | 14.36 Bn | 548.70 Mn | -262.30 Mn |
| 8 | Masco | 14.93 Bn | 12.79 Bn | 868.00 Mn | - |
| 9 | Carlisle Companies | 14.08 Bn | 10.42 Bn | 568.40 Mn | - |
| 10 | SPX Technologies | 8.26 Bn | 7.34 Bn | 272.80 Mn | -110.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | -110.00 Mn |
| Mar 28, 2026 | 150.00 Mn |
| Sep 27, 2025 | -477.80 Mn |
| Jun 28, 2025 | 78.20 Mn |
| Mar 29, 2025 | 295.00 Mn |
| Dec 31, 2024 | -85.20 Mn |
| Sep 28, 2024 | -45.00 Mn |
| Jun 29, 2024 | -84.80 Mn |
| Mar 30, 2024 | 278.00 Mn |
| Dec 31, 2023 | -99.70 Mn |
| Sep 30, 2023 | -3.70 Mn |
| Jul 1, 2023 | 380.00 Mn |
| Apr 1, 2023 | 20.00 Mn |
| Oct 1, 2022 | 7.60 Mn |
| Jul 2, 2022 | -3.20 Mn |
| Apr 2, 2022 | -3.10 Mn |
| Dec 31, 2021 | -1.60 Mn |
| Oct 2, 2021 | -141.60 Mn |
| Jul 3, 2021 | 34.70 Mn |
| Apr 3, 2021 | -27.60 Mn |
SPX Technologies Net Long-Term Debt Issued (Repaid) 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=non-current-debt&ticker=SPXC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=SPXC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();