SPX Technologies (SPXC) Operating Expenses (2009 - 2026)
SPX Technologies' Operating Expenses was $15.8 million in Q2 2026, up 18.8% from $13.3 million a year earlier and up 9.0% from the prior quarter.
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Analysis
SPX Technologies (SPXC) Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, SPX Technologies' Operating Expenses was $62.2 million through Jun 27, 2026, up 13.1% year-over-year; for FY2025, it was $59.2 million, up 10.4% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 3.6% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $53.6 million in FY2024 (-8.2%), $58.4 million in FY2023 (-14.9%), $68.6 million in FY2022 (+13.4%) and $60.5 million in FY2021 (+21.7%).
- Quarterly Operating Expenses has moved between $11.9 million (Q3 2021) and $33.2 million (Q2 2023) over five years.
- Compared with a year earlier, Operating Expenses has increased for three straight quarters, with growth averaging 8.1% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q2 2022 (growth of 141.2%); the worst was Q3 2021 (a decline of 82.4%).
- Per Business Quant data, SPXC's Operating Expenses in the three quarters before Q2 2026 was $14.5 million (Q1 2026), $19.5 million (Q4 2025) and $12.4 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 101.98 Bn | 96.70 Bn | 2.26 Bn | 1.04 Bn |
| 2 | Johnson Controls International | 94.46 Bn | 92.19 Bn | 2.47 Bn | 1.49 Bn |
| 3 | Carrier Global | 47.93 Bn | 42.23 Bn | 1.94 Bn | 5.58 Bn |
| 4 | Comfort Systems Usa | 45.24 Bn | 39.19 Bn | 934.48 Mn | 314.17 Mn |
| 5 | Otis Worldwide | 28.39 Bn | 24.81 Bn | 1.14 Bn | 3.28 Bn |
| 6 | Allegion | 15.49 Bn | 15.49 Bn | - | - |
| 7 | James Hardie Industries | 15.29 Bn | 14.36 Bn | 548.70 Mn | 327.40 Mn |
| 8 | Masco | 14.93 Bn | 12.79 Bn | 868.00 Mn | 397.00 Mn |
| 9 | Carlisle Companies | 14.08 Bn | 10.42 Bn | 568.40 Mn | 210.70 Mn |
| 10 | SPX Technologies | 8.26 Bn | 7.34 Bn | 272.80 Mn | 15.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 15.80 Mn |
| Mar 28, 2026 | 14.50 Mn |
| Dec 31, 2025 | 19.50 Mn |
| Sep 27, 2025 | 12.40 Mn |
| Jun 28, 2025 | 13.30 Mn |
| Mar 29, 2025 | 14.00 Mn |
| Dec 31, 2024 | 15.30 Mn |
| Sep 28, 2024 | 12.40 Mn |
| Jun 29, 2024 | 12.00 Mn |
| Mar 30, 2024 | 13.90 Mn |
| Dec 31, 2023 | 14.20 Mn |
| Sep 30, 2023 | 13.00 Mn |
| Jul 1, 2023 | 33.20 Mn |
| Apr 1, 2023 | 14.60 Mn |
| Dec 31, 2022 | 18.40 Mn |
| Oct 1, 2022 | 17.20 Mn |
| Jul 2, 2022 | 32.80 Mn |
| Apr 2, 2022 | 33.20 Mn |
| Dec 31, 2021 | 20.60 Mn |
| Oct 2, 2021 | 11.90 Mn |
API Access
SPX Technologies Operating Expenses 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=operating-expenses&ticker=SPXC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=SPXC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();