SPX Technologies (SPXC) Price to Earnings (2009 - 2026)
SPX Technologies' Price to Earnings came in at 41.64 for Q2 2026, up 12.3% from 37.08 a year earlier and up 5.1% from the prior quarter.
Analysis
SPX Technologies (SPXC) Price to Earnings (2009 - 2026) Analysis & Trends
For FY2025, SPX Technologies' Price to Earnings was 40.89, up 21.5% from FY2024.
- Going back by year, Price to Earnings was 33.65 in FY2024 (-34.4%), 51.32 in FY2023 (-99.7%), 14867.10 in FY2022 and 6.38 in FY2021 (-74.3%).
- The Q2 2026 figure represents the highest quarterly Price to Earnings since Q3 2024.
- Year-over-year, Price to Earnings has increased for three consecutive quarters, with an average decline of 15.8% over the last eight quarters.
- The fastest year-over-year change in Price to Earnings over five years came in Q2 2023 (growth of 960.8%), and the weakest in Q4 2023 (a decline of 99.7%).
- Business Quant data shows SPXC's Price to Earnings at 39.62 (Q1 2026), 40.89 (Q4 2025) and 40.84 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Trane Technologies | 102.06 Bn | 96.80 Bn | 2.26 Bn |
| 2 | Johnson Controls International | 94.64 Bn | 92.40 Bn | 2.47 Bn |
| 3 | Comfort Systems Usa | 60.88 Bn | 56.13 Bn | 844.23 Mn |
| 4 | Carrier Global | 45.43 Bn | 40.06 Bn | 1.94 Bn |
| 5 | Otis Worldwide | 24.39 Bn | 20.99 Bn | 1.14 Bn |
| 6 | James Hardie Industries | 14.50 Bn | 13.23 Bn | 548.70 Mn |
| 7 | Masco | 13.48 Bn | 11.58 Bn | 868.00 Mn |
| 8 | Allegion | 13.12 Bn | 11.83 Bn | 517.50 Mn |
| 9 | Carlisle Companies | 13.11 Bn | 9.46 Bn | 568.40 Mn |
| 10 | SPX Technologies | 8.68 Bn | 7.76 Bn | 272.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 41.64 |
| Mar 28, 2026 | 39.62 |
| Dec 31, 2025 | 40.89 |
| Sep 27, 2025 | 40.84 |
| Jun 28, 2025 | 37.08 |
| Mar 29, 2025 | 29.82 |
| Dec 31, 2024 | 33.65 |
| Sep 28, 2024 | 42.15 |
| Jun 29, 2024 | 63.08 |
| Mar 30, 2024 | 59.22 |
| Dec 31, 2023 | 51.32 |
| Sep 30, 2023 | 119.44 |
| Jul 1, 2023 | 70.94 |
| Apr 1, 2023 | 101.57 |
| Dec 31, 2022 | 14,867.10 |
| Oct 1, 2022 | 73.66 |
| Jul 2, 2022 | 6.69 |
| Apr 2, 2022 | 5.60 |
| Dec 31, 2021 | 6.38 |
| Oct 2, 2021 | 5.71 |
API Access
SPX Technologies Price to Earnings 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=price-to-earnings&ticker=SPXC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=SPXC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();