SPX Technologies (SPXC) Total Current Liabilities (2009 - 2026)
SPX Technologies' Total Current Liabilities was $604.1 million in Q2 2026, up 29.1% from $468 million a year earlier and up 25.5% from the prior quarter.
SPX Technologies (SPXC) Total Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Total Current Liabilities at SPX Technologies came in at $461.1 million, up 10.2% from FY2024.
- Total Current Liabilities has now increased for three consecutive years, though with a five-year compound annual growth rate of -4.2% (FY2020 to FY2025).
- In earlier years, Total Current Liabilities was $418.3 million in FY2024 (+4.3%), $401.2 million in FY2023 (+20.2%), $333.8 million in FY2022 (-24.1%) and $439.5 million in FY2021 (-23.2%).
- The Q2 2026 figure marks the highest quarterly Total Current Liabilities since Q2 2024.
- Compared with a year earlier, Total Current Liabilities was higher in three of the last eight quarters, with an average decline of 3.3%.
- The best year-over-year quarter for Total Current Liabilities over five years was Q1 2024 (growth of 76.4%); the worst was Q2 2022 (a decline of 48.0%).
- Per Business Quant data, SPXC's Total Current Liabilities in the three quarters before Q2 2026 was $481.2 million (Q1 2026), $461.1 million (Q4 2025) and $430.9 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 100.25 Bn | 94.99 Bn | 2.26 Bn | 8.39 Bn |
| 2 | Johnson Controls International | 90.55 Bn | 88.31 Bn | 2.47 Bn | 11.28 Bn |
| 3 | Comfort Systems Usa | 58.58 Bn | 53.83 Bn | 844.23 Mn | 4.77 Bn |
| 4 | Carrier Global | 45.65 Bn | 40.28 Bn | 1.94 Bn | 9.23 Bn |
| 5 | Otis Worldwide | 24.99 Bn | 21.59 Bn | 1.14 Bn | 8.23 Bn |
| 6 | James Hardie Industries | 14.56 Bn | 13.29 Bn | 548.70 Mn | 1.11 Bn |
| 7 | Masco | 13.48 Bn | 11.59 Bn | 868.00 Mn | 1.65 Bn |
| 8 | Allegion | 13.22 Bn | 11.93 Bn | 517.50 Mn | 777.30 Mn |
| 9 | Carlisle Companies | 12.96 Bn | 9.31 Bn | 568.40 Mn | 883.40 Mn |
| 10 | SPX Technologies | 8.55 Bn | 7.63 Bn | 272.80 Mn | 604.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 604.10 Mn |
| Mar 28, 2026 | 481.20 Mn |
| Dec 31, 2025 | 461.10 Mn |
| Sep 27, 2025 | 430.90 Mn |
| Jun 28, 2025 | 468.00 Mn |
| Mar 29, 2025 | 482.90 Mn |
| Dec 31, 2024 | 418.30 Mn |
| Sep 28, 2024 | 446.30 Mn |
| Jun 29, 2024 | 633.30 Mn |
| Mar 30, 2024 | 694.80 Mn |
| Dec 31, 2023 | 401.20 Mn |
| Sep 30, 2023 | 493.70 Mn |
| Jul 1, 2023 | 489.60 Mn |
| Apr 1, 2023 | 393.90 Mn |
| Dec 31, 2022 | 333.80 Mn |
| Oct 1, 2022 | 374.40 Mn |
| Jul 2, 2022 | 368.20 Mn |
| Apr 2, 2022 | 393.90 Mn |
| Dec 31, 2021 | 439.50 Mn |
| Oct 2, 2021 | 477.50 Mn |
SPX Technologies Total 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-current-liabilities&ticker=SPXC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=SPXC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();