SPX Technologies (SPXC) EBITDA (2009 - 2026)
SPX Technologies (SPXC) posted EBITDA of $150.7 million for Q2 2026, up 26.5% from $119.1 million a year earlier and up 25.8% from the prior quarter.
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Analysis
SPX Technologies (SPXC) EBITDA (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 27, 2026, EBITDA at SPX Technologies was $530.8 million, up 23.7% year-over-year; for FY2025, it was $473 million, up 18.3% from FY2024.
- Annual EBITDA has increased for three consecutive years, with a five-year compound annual growth rate of 29.7% (FY2020 to FY2025).
- In prior years, SPX Technologies' EBITDA was $399.9 million in FY2024 (+40.3%), $285.1 million in FY2023 (+192.7%), $97.4 million in FY2022 (-16.0%) and $116 million in FY2021 (-9.9%).
- The Q2 2026 figure stands as the highest quarterly EBITDA in data going back to Q1 2009.
- On a year-over-year basis, EBITDA has increased in each of the last ten quarters, with growth averaging 25.2% over the last eight quarters.
- The strongest year-over-year quarter for EBITDA in the past five years was Q1 2023, with growth of 138.2%; the weakest was Q4 2021, with a decline of 54.3%.
- According to Business Quant data, EBITDA for the three prior quarters was $119.8 million (Q1 2026), $130.8 million (Q4 2025) and $129.5 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 100.25 Bn | 94.99 Bn | 2.26 Bn | 1.33 Bn |
| 2 | Johnson Controls International | 90.55 Bn | 88.31 Bn | 2.47 Bn | 1.15 Bn |
| 3 | Comfort Systems Usa | 58.58 Bn | 53.83 Bn | 844.23 Mn | 601.28 Mn |
| 4 | Carrier Global | 45.65 Bn | 40.28 Bn | 1.94 Bn | 1.14 Bn |
| 5 | Otis Worldwide | 24.99 Bn | 21.59 Bn | 1.14 Bn | 617.00 Mn |
| 6 | James Hardie Industries | 14.56 Bn | 13.29 Bn | 548.70 Mn | 386.50 Mn |
| 7 | Masco | 13.48 Bn | 11.59 Bn | 868.00 Mn | - |
| 8 | Allegion | 13.22 Bn | 11.93 Bn | 517.50 Mn | 290.40 Mn |
| 9 | Carlisle Companies | 12.96 Bn | 9.31 Bn | 568.40 Mn | 401.20 Mn |
| 10 | SPX Technologies | 8.55 Bn | 7.63 Bn | 272.80 Mn | 150.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 150.70 Mn |
| Mar 28, 2026 | 119.80 Mn |
| Dec 31, 2025 | 130.80 Mn |
| Sep 27, 2025 | 129.50 Mn |
| Jun 28, 2025 | 119.10 Mn |
| Mar 29, 2025 | 93.60 Mn |
| Dec 31, 2024 | 113.90 Mn |
| Sep 28, 2024 | 102.40 Mn |
| Jun 29, 2024 | 98.00 Mn |
| Mar 30, 2024 | 85.60 Mn |
| Dec 31, 2023 | 79.90 Mn |
| Sep 30, 2023 | 77.40 Mn |
| Jul 1, 2023 | 67.30 Mn |
| Apr 1, 2023 | 60.50 Mn |
| Dec 31, 2022 | -15.40 Mn |
| Oct 1, 2022 | 48.60 Mn |
| Jul 2, 2022 | 38.80 Mn |
| Apr 2, 2022 | 25.40 Mn |
| Dec 31, 2021 | 24.30 Mn |
| Oct 2, 2021 | 29.70 Mn |
API Access
SPX Technologies EBITDA 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=ebitda&ticker=SPXC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=SPXC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();