SPX Technologies (SPXC) Net Income (2009 - 2026)
SPX Technologies' Net Income was $81.9 million in Q3 2026, up 30.6% from $62.7 million a year earlier and up 4.5% from the prior quarter.
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Analysis
SPX Technologies (SPXC) Net Income (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, SPX Technologies' Net Income was $298.1 million through Sep 26, 2026, up 33.6% year-over-year; for FY2025, it was $244 million, up 21.7% from FY2024.
- Net Income shows a five-year compound annual growth rate of 19.8% (FY2020 to FY2025).
- In earlier years, Net Income was $200.5 million in FY2024 (+123.0%), $89.9 million in FY2023, $200,000 in FY2022 (-100.0%) and $425.4 million in FY2021 (+329.7%).
- The Q3 2026 figure marks the highest quarterly Net Income since Q3 2021.
- Compared with a year earlier, Net Income has increased for eight straight quarters, with growth averaging 32.9% over the last eight quarters.
- The best year-over-year quarter for Net Income over five years was Q1 2023 (growth of 275.4%); the worst was Q3 2022 (a decline of 99.1%).
- Per Business Quant data, SPXC's Net Income in the three quarters before Q3 2026 was $78.4 million (Q2 2026), $59.9 million (Q1 2026) and $77.9 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 88.43 Bn | 83.04 Bn | 2.38 Bn | 1.05 Bn |
| 2 | Johnson Controls International | 81.95 Bn | 79.68 Bn | 2.47 Bn | 749.00 Mn |
| 3 | Carrier Global | 43.09 Bn | 37.47 Bn | 1.90 Bn | -2.59 Bn |
| 4 | Comfort Systems Usa | 35.64 Bn | 29.60 Bn | 934.48 Mn | 489.04 Mn |
| 5 | Otis Worldwide | 30.11 Bn | 26.50 Bn | 1.16 Bn | 426.00 Mn |
| 6 | James Hardie Industries | 16.21 Bn | 15.14 Bn | 562.40 Mn | 151.00 Mn |
| 7 | Masco | 16.11 Bn | 13.92 Bn | 720.00 Mn | 240.00 Mn |
| 8 | Allegion | 15.72 Bn | 14.35 Bn | 548.20 Mn | 220.90 Mn |
| 9 | Carlisle Companies | 14.80 Bn | 11.71 Bn | 494.90 Mn | 208.10 Mn |
| 10 | SPX Technologies | 7.13 Bn | 6.33 Bn | 279.50 Mn | 81.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 81.90 Mn |
| Jun 27, 2026 | 78.40 Mn |
| Mar 28, 2026 | 59.90 Mn |
| Dec 31, 2025 | 77.90 Mn |
| Sep 27, 2025 | 62.70 Mn |
| Jun 28, 2025 | 52.20 Mn |
| Mar 29, 2025 | 51.20 Mn |
| Dec 31, 2024 | 57.10 Mn |
| Sep 28, 2024 | 50.20 Mn |
| Jun 29, 2024 | 44.20 Mn |
| Mar 30, 2024 | 49.00 Mn |
| Dec 31, 2023 | 31.50 Mn |
| Sep 30, 2023 | -20.40 Mn |
| Jul 1, 2023 | 36.00 Mn |
| Apr 1, 2023 | 42.80 Mn |
| Dec 31, 2022 | -27.30 Mn |
| Oct 1, 2022 | 3.10 Mn |
| Jul 2, 2022 | 13.00 Mn |
| Apr 2, 2022 | 11.40 Mn |
| Dec 31, 2021 | 6.40 Mn |
API Access
SPX Technologies Net Income 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=net-income&ticker=SPXC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-income", "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=net-income&ticker=SPXC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();