SPX Technologies (SPXC) Operating Income (2009 - 2026)
SPX Technologies (SPXC) recorded Operating Income of $115.3 million in Q3 2026, up 18.7% from $97.1 million a year earlier and up 0.3% from the prior quarter.
SPX Technologies (SPXC) Operating Income (2009 - 2026) Analysis & Trends
On a TTM basis, SPX Technologies' Operating Income came in at $418.1 million as of Sep 26, 2026, up 22.8% year-over-year; for FY2025, it was $350.4 million, up 13.7% from FY2024.
- Annual Operating Income has increased for three straight years, with a five-year compound annual growth rate of 29.3% (FY2020 to FY2025).
- Across earlier years, Operating Income came in at $308.3 million in FY2024 (+38.9%), $221.9 million in FY2023 (+335.1%), $51 million in FY2022 (-30.8%) and $73.7 million in FY2021 (-23.9%).
- The Q3 2026 figure is the highest quarterly Operating Income since Q4 2009.
- On a year-over-year basis, Operating Income has increased for 11 consecutive quarters, with growth averaging 22.4% over the last eight quarters.
- Peak year-over-year performance for Operating Income in the last five years was growth of 336.8% in Q1 2023, against a decline of 67.6% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $115 million (Q2 2026), $87.7 million (Q1 2026) and $100.1 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 88.43 Bn | 83.04 Bn | 2.38 Bn | 1.34 Bn |
| 2 | Johnson Controls International | 81.95 Bn | 79.68 Bn | 2.47 Bn | 987.00 Mn |
| 3 | Carrier Global | 43.09 Bn | 37.47 Bn | 1.90 Bn | -2.27 Bn |
| 4 | Comfort Systems Usa | 35.64 Bn | 29.60 Bn | 934.48 Mn | 624.57 Mn |
| 5 | Otis Worldwide | 30.11 Bn | 26.50 Bn | 1.16 Bn | 620.00 Mn |
| 6 | James Hardie Industries | 16.21 Bn | 15.14 Bn | 562.40 Mn | 263.30 Mn |
| 7 | Masco | 16.11 Bn | 13.92 Bn | 720.00 Mn | 338.00 Mn |
| 8 | Allegion | 15.72 Bn | 14.35 Bn | 548.20 Mn | 284.60 Mn |
| 9 | Carlisle Companies | 14.80 Bn | 11.71 Bn | 494.90 Mn | 293.20 Mn |
| 10 | SPX Technologies | 7.13 Bn | 6.33 Bn | 279.50 Mn | 115.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 115.30 Mn |
| Jun 27, 2026 | 115.00 Mn |
| Mar 28, 2026 | 87.70 Mn |
| Dec 31, 2025 | 100.10 Mn |
| Sep 27, 2025 | 97.10 Mn |
| Jun 28, 2025 | 86.60 Mn |
| Mar 29, 2025 | 66.60 Mn |
| Dec 31, 2024 | 90.20 Mn |
| Sep 28, 2024 | 78.90 Mn |
| Jun 29, 2024 | 74.60 Mn |
| Mar 30, 2024 | 64.60 Mn |
| Dec 31, 2023 | 63.10 Mn |
| Sep 30, 2023 | 57.70 Mn |
| Jul 1, 2023 | 51.30 Mn |
| Apr 1, 2023 | 49.80 Mn |
| Dec 31, 2022 | -24.90 Mn |
| Oct 1, 2022 | 37.30 Mn |
| Jul 2, 2022 | 27.20 Mn |
| Apr 2, 2022 | 11.40 Mn |
| Dec 31, 2021 | 13.90 Mn |
SPX Technologies Operating 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=operating-income&ticker=SPXC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-income&ticker=SPXC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();