SPX Technologies (SPXC) Return on Sales [ROS] (2009 - 2026)
SPX Technologies (SPXC) reported Return on Sales [ROS] of 16.94% for Q2 2026, up 1.26 percentage points from 15.68% a year earlier and up 1.46 percentage points from the prior quarter.
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Analysis
SPX Technologies (SPXC) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 27, 2026, SPX Technologies' Return on Sales [ROS] came in at 16.15%, up 0.45 percentage points year-over-year; for FY2025, it was 15.47%, down 0.07 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of +6.88 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 15.54% in FY2024 (+2.80 pp), 12.74% in FY2023 (+9.25 pp), 3.49% in FY2022 (-2.55 pp) and 6.04% in FY2021 (-2.55 pp).
- The Q2 2026 figure ranks as the highest quarterly Return on Sales [ROS] since Q2 2014.
- Year over year, Return on Sales [ROS] gained in six of the last eight quarters, with an average year-over-year change of +1.18 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was Q4 2023 (a gain of 19.24 percentage points); the low point was Q4 2022 (a drop of 9.77 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 15.47% (Q1 2026), 15.71% (Q4 2025) and 16.38% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 88.43 Bn | 83.04 Bn | 2.38 Bn | 19.87% |
| 2 | Johnson Controls International | 81.95 Bn | 79.68 Bn | 2.47 Bn | 14.92% |
| 3 | Carrier Global | 43.09 Bn | 37.47 Bn | 1.90 Bn | -36.29% |
| 4 | Comfort Systems Usa | 35.64 Bn | 29.60 Bn | 934.48 Mn | 16.58% |
| 5 | Otis Worldwide | 30.11 Bn | 26.50 Bn | 1.16 Bn | 15.84% |
| 6 | James Hardie Industries | 16.21 Bn | 15.14 Bn | 562.40 Mn | 18.44% |
| 7 | Masco | 16.11 Bn | 13.92 Bn | 720.00 Mn | 17.19% |
| 8 | Allegion | 15.72 Bn | 14.35 Bn | 548.20 Mn | 24.27% |
| 9 | Carlisle Companies | 14.80 Bn | 11.71 Bn | 494.90 Mn | 20.04% |
| 10 | SPX Technologies | 7.13 Bn | 6.33 Bn | 279.50 Mn | 16.14% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 16.14% |
| Jun 27, 2026 | 16.94% |
| Mar 28, 2026 | 15.47% |
| Dec 31, 2025 | 15.71% |
| Sep 27, 2025 | 16.38% |
| Jun 28, 2025 | 15.68% |
| Mar 29, 2025 | 13.80% |
| Dec 31, 2024 | 16.90% |
| Sep 28, 2024 | 16.31% |
| Jun 29, 2024 | 14.88% |
| Mar 30, 2024 | 13.89% |
| Dec 31, 2023 | 13.44% |
| Sep 30, 2023 | 12.86% |
| Jul 1, 2023 | 12.12% |
| Apr 1, 2023 | 12.46% |
| Dec 31, 2022 | -5.80% |
| Oct 1, 2022 | 10.07% |
| Jul 2, 2022 | 7.68% |
| Apr 2, 2022 | 3.71% |
| Dec 31, 2021 | 3.97% |
API Access
SPX Technologies Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=SPXC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=SPXC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();