SPX Technologies (SPXC) Long-Term Debt Repayments (2009 - 2026)
SPX Technologies (SPXC) posted Long-Term Debt Repayments of $135.4 million for Q2 2026, compared with $6.8 million a year earlier and up 242.8% from the prior quarter.
Powered by 
Analysis
SPX Technologies (SPXC) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 27, 2026, Long-Term Debt Repayments at SPX Technologies was $1.15 billion; for FY2025, it was $1.08 billion, up 236.4% from FY2024.
- Annual Long-Term Debt Repayments shows a five-year compound annual growth rate of 39.1% (FY2020 to FY2025).
- In prior years, SPX Technologies' Long-Term Debt Repayments was $321.8 million in FY2024 (-43.8%), $572.5 million in FY2023 (+134.9%), $243.7 million in FY2022 (-29.6%) and $346 million in FY2021 (+66.5%).
- Quarterly Long-Term Debt Repayments has run from a low of -$140.2 million in Q4 2024 to a high of $977.8 million in Q3 2025 over five years.
- On a year-over-year basis, Long-Term Debt Repayments increased in 1 of the last four quarters, with an average decline of 22.4%.
- The strongest year-over-year quarter for Long-Term Debt Repayments in the past five years was Q3 2021, with growth of 723.5%; the weakest was Q4 2021, with a decline of 97.3%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson Controls International | 90.50 Bn | 90.50 Bn | 2.71 Bn | 220.00 Mn |
| 2 | Trane Technologies | 90.28 Bn | 84.89 Bn | 2.38 Bn | - |
| 3 | Carrier Global | 44.00 Bn | 38.38 Bn | 1.90 Bn | 3.00 Mn |
| 4 | Comfort Systems Usa | 43.04 Bn | 36.99 Bn | 934.48 Mn | 15.39 Mn |
| 5 | Otis Worldwide | 28.86 Bn | 25.25 Bn | 1.16 Bn | - |
| 6 | Allegion | 15.95 Bn | 15.95 Bn | - | - |
| 7 | Masco | 15.80 Bn | 13.60 Bn | 720.00 Mn | - |
| 8 | James Hardie Industries | 15.77 Bn | 14.84 Bn | 548.70 Mn | 792.30 Mn |
| 9 | Carlisle Companies | 14.73 Bn | 11.63 Bn | 494.90 Mn | - |
| 10 | SPX Technologies | 7.94 Bn | 7.94 Bn | - | 115.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 115.00 Mn |
| Jun 27, 2026 | 135.40 Mn |
| Mar 28, 2026 | 39.50 Mn |
| Sep 27, 2025 | 977.80 Mn |
| Jun 28, 2025 | 6.80 Mn |
| Mar 29, 2025 | 98.00 Mn |
| Dec 31, 2024 | -140.20 Mn |
| Sep 28, 2024 | 80.00 Mn |
| Jun 29, 2024 | 102.80 Mn |
| Mar 30, 2024 | 279.20 Mn |
| Dec 31, 2023 | 117.50 Mn |
| Sep 30, 2023 | 35.00 Mn |
| Jul 1, 2023 | 420.00 Mn |
| Oct 1, 2022 | 237.40 Mn |
| Jul 2, 2022 | 3.20 Mn |
| Apr 2, 2022 | 3.10 Mn |
| Dec 31, 2021 | 2.40 Mn |
| Oct 2, 2021 | 248.70 Mn |
| Jul 3, 2021 | 13.30 Mn |
| Apr 3, 2021 | 81.60 Mn |
API Access
SPX Technologies Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=SPXC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=SPXC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();