SPX Technologies (SPXC) Income After Tax (2009 - 2026)
SPX Technologies (SPXC) posted Income After Tax of $79.3 million for Q2 2026, up 51.0% from $52.5 million a year earlier and up 23.1% from the prior quarter.
SPX Technologies (SPXC) Income After Tax (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 27, 2026, Income After Tax at SPX Technologies was $285 million, up 34.7% year-over-year; for FY2025, it came in at $245.5 million, up 21.7% from FY2024.
- Annual Income After Tax has increased for three consecutive years, with a five-year compound annual growth rate of 27.2% (FY2020 to FY2025).
- In prior years, SPX Technologies' Income After Tax was $201.8 million in FY2024 (+39.5%), $144.7 million in FY2023 (+630.8%), $19.8 million in FY2022 (-66.4%) and $59 million in FY2021 (-20.1%).
- The Q2 2026 figure stands as the highest quarterly Income After Tax since Q1 2014.
- On a year-over-year basis, Income After Tax has increased in each of the last ten quarters, with growth averaging 35.1% over the last eight quarters.
- The strongest year-over-year quarter for Income After Tax in the past five years was Q1 2023, with growth of 200.8%; the weakest was Q4 2021, with a decline of 86.9%.
- According to Business Quant data, Income After Tax for the three prior quarters was $64.4 million (Q1 2026), $78.2 million (Q4 2025) and $63.1 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Income After Tax (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 88.43 Bn | 83.04 Bn | 2.38 Bn | 1.07 Bn |
| 2 | Johnson Controls International | 81.95 Bn | 79.68 Bn | 2.47 Bn | 752.00 Mn |
| 3 | Carrier Global | 43.09 Bn | 37.47 Bn | 1.90 Bn | -2.54 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 | 149.80 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 | 207.40 Mn |
| 10 | SPX Technologies | 7.13 Bn | 6.33 Bn | 279.50 Mn | 82.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 82.30 Mn |
| Jun 27, 2026 | 79.30 Mn |
| Mar 28, 2026 | 64.40 Mn |
| Dec 31, 2025 | 78.20 Mn |
| Sep 27, 2025 | 63.10 Mn |
| Jun 28, 2025 | 52.50 Mn |
| Mar 29, 2025 | 51.70 Mn |
| Dec 31, 2024 | 56.50 Mn |
| Sep 28, 2024 | 50.90 Mn |
| Jun 29, 2024 | 45.20 Mn |
| Mar 30, 2024 | 49.20 Mn |
| Dec 31, 2023 | 31.60 Mn |
| Sep 30, 2023 | 35.70 Mn |
| Jul 1, 2023 | 38.30 Mn |
| Apr 1, 2023 | 39.10 Mn |
| Dec 31, 2022 | -24.80 Mn |
| Oct 1, 2022 | 12.50 Mn |
| Jul 2, 2022 | 19.10 Mn |
| Apr 2, 2022 | 13.00 Mn |
| Dec 31, 2021 | 4.40 Mn |
SPX Technologies Income After Tax 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=profit-after-tax&ticker=SPXC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "profit-after-tax", "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=profit-after-tax&ticker=SPXC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();