SPX Technologies (SPXC) Cost of Revenue (2009 - 2026)
SPX Technologies' Cost of Revenue was $435 million in Q3 2026, up 23.1% from $353.3 million a year earlier and up 7.1% from the prior quarter.
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Analysis
SPX Technologies (SPXC) Cost of Revenue (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, SPX Technologies' Cost of Revenue was $1.56 billion through Sep 26, 2026, up 22.1% year-over-year; for FY2025, it came in at $1.35 billion, up 13.8% from FY2024.
- Cost of Revenue has now increased for six consecutive years, with a five-year compound annual growth rate of 13.0% (FY2020 to FY2025).
- In earlier years, Cost of Revenue was $1.18 billion in FY2024 (+10.6%), $1.07 billion in FY2023 (+14.3%), $937 million in FY2022 (+19.0%) and $787.7 million in FY2021 (+7.5%).
- The Q3 2026 figure marks the highest quarterly Cost of Revenue since Q2 2014.
- Compared with a year earlier, Cost of Revenue has increased for 22 straight quarters, with growth averaging 16.6% over the last eight quarters.
- Across the past five years, year-over-year growth in Cost of Revenue ran from 0.7% in Q4 2021 to 25.6% in Q2 2026.
- Per Business Quant data, SPXC's Cost of Revenue in the three quarters before Q3 2026 was $406.2 million (Q2 2026), $336.2 million (Q1 2026) and $383.9 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 88.43 Bn | 83.04 Bn | 2.38 Bn | 4.37 Bn |
| 2 | Johnson Controls International | 81.95 Bn | 79.68 Bn | 2.47 Bn | 4.14 Bn |
| 3 | Carrier Global | 43.09 Bn | 37.47 Bn | 1.90 Bn | 4.36 Bn |
| 4 | Comfort Systems Usa | 35.64 Bn | 29.60 Bn | 934.48 Mn | 2.83 Bn |
| 5 | Otis Worldwide | 30.11 Bn | 26.50 Bn | 1.16 Bn | 2.76 Bn |
| 6 | James Hardie Industries | 16.21 Bn | 15.14 Bn | 562.40 Mn | 865.80 Mn |
| 7 | Masco | 16.11 Bn | 13.92 Bn | 720.00 Mn | 1.25 Bn |
| 8 | Allegion | 15.72 Bn | 14.35 Bn | 548.20 Mn | 624.40 Mn |
| 9 | Carlisle Companies | 14.80 Bn | 11.71 Bn | 494.90 Mn | 968.50 Mn |
| 10 | SPX Technologies | 7.13 Bn | 6.33 Bn | 279.50 Mn | 435.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 435.00 Mn |
| Jun 27, 2026 | 406.20 Mn |
| Mar 28, 2026 | 336.20 Mn |
| Dec 31, 2025 | 383.90 Mn |
| Sep 27, 2025 | 353.30 Mn |
| Jun 28, 2025 | 323.50 Mn |
| Mar 29, 2025 | 286.70 Mn |
| Dec 31, 2024 | 315.60 Mn |
| Sep 28, 2024 | 286.10 Mn |
| Jun 29, 2024 | 300.50 Mn |
| Mar 30, 2024 | 282.30 Mn |
| Dec 31, 2023 | 281.50 Mn |
| Sep 30, 2023 | 280.10 Mn |
| Jul 1, 2023 | 259.70 Mn |
| Apr 1, 2023 | 249.90 Mn |
| Dec 31, 2022 | 267.10 Mn |
| Oct 1, 2022 | 237.40 Mn |
| Jul 2, 2022 | 229.40 Mn |
| Apr 2, 2022 | 203.10 Mn |
| Dec 31, 2021 | 220.70 Mn |
API Access
SPX Technologies Cost of 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=cost-of-revenue&ticker=SPXC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-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=cost-of-revenue&ticker=SPXC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();