SPX Technologies (SPXC) Cash & Equivalents (2009 - 2026)
SPX Technologies (SPXC) reported Cash & Equivalents of $119.2 million for Q3 2026, down 48.0% from $229.4 million a year earlier and down 28.4% from the prior quarter.
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Analysis
SPX Technologies (SPXC) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, SPX Technologies posted Cash & Equivalents of $364 million, up 132.0% from FY2024.
- Cash & Equivalents has a five-year compound annual growth rate of 41.6% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $156.9 million in FY2024 (+57.8%), $99.4 million in FY2023 (-32.7%), $147.8 million in FY2022 (-61.9%) and $388.2 million in FY2021 (+506.6%).
- The Q3 2026 figure ranks as the lowest quarterly Cash & Equivalents since Q1 2024.
- Year over year, Cash & Equivalents gained in six of the last eight quarters, with growth averaging 39.9%.
- The high point for year-over-year Cash & Equivalents in five years was Q4 2021 (growth of 506.6%); the low point was Q3 2022 (a decline of 66.9%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $166.4 million (Q2 2026), $156.5 million (Q1 2026) and $364 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 88.43 Bn | 83.04 Bn | 2.38 Bn | 1.23 Bn |
| 2 | Johnson Controls International | 81.95 Bn | 79.68 Bn | 2.47 Bn | 641.00 Mn |
| 3 | Carrier Global | 43.09 Bn | 37.47 Bn | 1.90 Bn | 1.35 Bn |
| 4 | Comfort Systems Usa | 35.64 Bn | 29.60 Bn | 934.48 Mn | 2.16 Bn |
| 5 | Otis Worldwide | 30.11 Bn | 26.50 Bn | 1.16 Bn | 866.00 Mn |
| 6 | James Hardie Industries | 16.21 Bn | 15.14 Bn | 562.40 Mn | 323.10 Mn |
| 7 | Masco | 16.11 Bn | 13.92 Bn | 720.00 Mn | 610.00 Mn |
| 8 | Allegion | 15.72 Bn | 14.35 Bn | 548.20 Mn | 388.10 Mn |
| 9 | Carlisle Companies | 14.80 Bn | 11.71 Bn | 494.90 Mn | 546.70 Mn |
| 10 | SPX Technologies | 7.13 Bn | 6.33 Bn | 279.50 Mn | 119.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 119.20 Mn |
| Jun 27, 2026 | 166.40 Mn |
| Mar 28, 2026 | 156.50 Mn |
| Dec 31, 2025 | 364.00 Mn |
| Sep 27, 2025 | 229.40 Mn |
| Jun 28, 2025 | 132.80 Mn |
| Mar 29, 2025 | 177.80 Mn |
| Dec 31, 2024 | 156.90 Mn |
| Sep 28, 2024 | 124.80 Mn |
| Jun 29, 2024 | 128.10 Mn |
| Mar 30, 2024 | 100.50 Mn |
| Dec 31, 2023 | 99.40 Mn |
| Sep 30, 2023 | 100.90 Mn |
| Jul 1, 2023 | 87.10 Mn |
| Apr 1, 2023 | 204.80 Mn |
| Dec 31, 2022 | 147.80 Mn |
| Oct 1, 2022 | 183.40 Mn |
| Jul 2, 2022 | 189.80 Mn |
| Apr 2, 2022 | 262.80 Mn |
| Dec 31, 2021 | 388.20 Mn |
API Access
SPX Technologies Cash & Equivalents 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=cash-and-equivalents&ticker=SPXC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=SPXC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();