SPX Technologies (SPXC) Revenue (2009 - 2026)
SPX Technologies (SPXC) posted Revenue of $679 million for Q2 2026, up 22.9% from $552.4 million a year earlier and up 19.8% from the prior quarter.
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Analysis
SPX Technologies (SPXC) Revenue (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 27, 2026, Revenue at SPX Technologies was $2.48 billion, up 20.6% year-over-year; for FY2025, it came in at $2.27 billion, up 14.2% from FY2024.
- Annual Revenue has increased for six consecutive years, with a five-year compound annual growth rate of 15.0% (FY2020 to FY2025).
- In prior years, SPX Technologies' Revenue was $1.98 billion in FY2024 (+13.9%), $1.74 billion in FY2023 (+19.2%), $1.46 billion in FY2022 (+19.8%) and $1.22 billion in FY2021 (+8.1%).
- The Q2 2026 figure stands as the highest quarterly Revenue since Q4 2013.
- On a year-over-year basis, Revenue has increased in each of the last 22 quarters, with growth averaging 14.7% over the last eight quarters.
- The year-over-year growth in Revenue has ranged between 0.5% (Q4 2021) and 30.2% (Q1 2023) over the last five years.
- According to Business Quant data, Revenue for the three prior quarters was $566.8 million (Q1 2026), $637.3 million (Q4 2025) and $592.8 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn | 6.35 Bn |
| 2 | Johnson Controls International | 90.06 Bn | 87.82 Bn | 2.47 Bn | 6.61 Bn |
| 3 | Comfort Systems Usa | 58.26 Bn | 53.51 Bn | 844.23 Mn | 3.27 Bn |
| 4 | Carrier Global | 45.22 Bn | 39.85 Bn | 1.94 Bn | 6.35 Bn |
| 5 | Otis Worldwide | 24.48 Bn | 21.09 Bn | 1.14 Bn | 3.86 Bn |
| 6 | James Hardie Industries | 14.69 Bn | 13.43 Bn | 548.70 Mn | 1.47 Bn |
| 7 | Masco | 13.29 Bn | 11.40 Bn | 868.00 Mn | 1.99 Bn |
| 8 | Allegion | 13.08 Bn | 11.79 Bn | 517.50 Mn | 1.15 Bn |
| 9 | Carlisle Companies | 12.82 Bn | 9.17 Bn | 568.40 Mn | 1.57 Bn |
| 10 | SPX Technologies | 8.49 Bn | 7.57 Bn | 272.80 Mn | 679.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 679.00 Mn |
| Mar 28, 2026 | 566.80 Mn |
| Dec 31, 2025 | 637.30 Mn |
| Sep 27, 2025 | 592.80 Mn |
| Jun 28, 2025 | 552.40 Mn |
| Mar 29, 2025 | 482.60 Mn |
| Dec 31, 2024 | 533.70 Mn |
| Sep 28, 2024 | 483.70 Mn |
| Jun 29, 2024 | 501.30 Mn |
| Mar 30, 2024 | 465.20 Mn |
| Dec 31, 2023 | 469.40 Mn |
| Sep 30, 2023 | 448.70 Mn |
| Jul 1, 2023 | 423.30 Mn |
| Apr 1, 2023 | 399.80 Mn |
| Dec 31, 2022 | 429.30 Mn |
| Oct 1, 2022 | 370.50 Mn |
| Jul 2, 2022 | 354.00 Mn |
| Apr 2, 2022 | 307.10 Mn |
| Dec 31, 2021 | 350.00 Mn |
| Oct 2, 2021 | 285.70 Mn |
API Access
SPX Technologies Revenue 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=revenue&ticker=SPXC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=SPXC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();