SPX Technologies (SPXC) Return on Capital Employed [ROCE] (2009 - 2026)
SPX Technologies (SPXC) recorded Return on Capital Employed [ROCE] of 12.10% in Q2 2026, up 0.40 percentage points from 11.70% a year earlier and up 0.71 percentage points from the prior quarter.
SPX Technologies (SPXC) Return on Capital Employed [ROCE] (2009 - 2026) Analysis & Trends
For FY2025, SPX Technologies reported Return on Capital Employed [ROCE] of 12.99%, down 1.30 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] has a five-year change of +7.21 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Capital Employed [ROCE] came in at 14.28% in FY2024 (+1.84 pp), 12.44% in FY2023 (+9.82 pp), 2.62% in FY2022 (-0.99 pp) and 3.61% in FY2021 (-2.16 pp).
- The Q2 2026 figure is the highest quarterly Return on Capital Employed [ROCE] since Q1 2025.
- On a year-over-year basis, Return on Capital Employed [ROCE] rose in four of the last eight quarters, with an average year-over-year change of +0.58 percentage points.
- Peak year-over-year performance for Return on Capital Employed [ROCE] in the last five years was a gain of 8.07 percentage points in Q4 2023, against a drop of 3.39 percentage points in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at 11.39% (Q1 2026), 11.44% (Q4 2025) and 11.56% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 102.06 Bn | 96.80 Bn | 2.26 Bn | 26.65% |
| 2 | Johnson Controls International | 94.64 Bn | 92.40 Bn | 2.47 Bn | 10.95% |
| 3 | Comfort Systems Usa | 60.88 Bn | 56.13 Bn | 844.23 Mn | 25.26% |
| 4 | Carrier Global | 45.43 Bn | 40.06 Bn | 1.94 Bn | 6.15% |
| 5 | Otis Worldwide | 24.39 Bn | 20.99 Bn | 1.14 Bn | 87.23% |
| 6 | James Hardie Industries | 14.50 Bn | 13.23 Bn | 548.70 Mn | 4.22% |
| 7 | Masco | 13.48 Bn | 11.58 Bn | 868.00 Mn | 36.39% |
| 8 | Allegion | 13.12 Bn | 11.83 Bn | 517.50 Mn | 19.60% |
| 9 | Carlisle Companies | 13.11 Bn | 9.46 Bn | 568.40 Mn | 19.44% |
| 10 | SPX Technologies | 8.68 Bn | 7.76 Bn | 272.80 Mn | 12.10% |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 12.10% |
| Mar 28, 2026 | 11.39% |
| Dec 31, 2025 | 11.44% |
| Sep 27, 2025 | 11.56% |
| Jun 28, 2025 | 11.70% |
| Mar 29, 2025 | 12.70% |
| Dec 31, 2024 | 13.16% |
| Sep 28, 2024 | 11.97% |
| Jun 29, 2024 | 12.05% |
| Mar 30, 2024 | 12.30% |
| Dec 31, 2023 | 10.80% |
| Sep 30, 2023 | 6.72% |
| Jul 1, 2023 | 6.41% |
| Apr 1, 2023 | 5.65% |
| Dec 31, 2022 | 2.72% |
| Oct 1, 2022 | 4.25% |
| Jul 2, 2022 | 3.25% |
| Apr 2, 2022 | 2.73% |
| Dec 31, 2021 | 3.48% |
| Oct 2, 2021 | 5.21% |
SPX Technologies Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=SPXC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=SPXC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();