SPX Technologies (SPXC) Exchange Rate Effect (2009 - 2026)
SPX Technologies (SPXC) posted Exchange Rate Effect of $500,000 for Q2 2026, down 86.8% from $3.8 million a year earlier.
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Analysis
SPX Technologies (SPXC) Exchange Rate Effect (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 27, 2026, Exchange Rate Effect at SPX Technologies was $800,000, down 89.0% year-over-year; for FY2025, it was $6.8 million, up 240.0% from FY2024.
- In prior years, SPX Technologies' Exchange Rate Effect was $2 million in FY2024, -$100,000 in FY2023, $2.9 million in FY2022 (-56.1%) and $6.6 million in FY2021.
- Quarterly Exchange Rate Effect has run from a low of -$3.5 million in Q4 2024 to a high of $4.4 million in Q3 2024 over five years.
- The strongest year-over-year quarter for Exchange Rate Effect in the past five years was Q4 2022, with growth of 300.0%; the weakest was Q3 2025, with a decline of 97.7%.
- According to Business Quant data, Exchange Rate Effect for the three prior quarters was -$100,000 (Q1 2026), $300,000 (Q4 2025) and $100,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn | 200,000.00 |
| 2 | Johnson Controls International | 90.06 Bn | 87.82 Bn | 2.47 Bn | -1.00 Mn |
| 3 | Comfort Systems Usa | 58.26 Bn | 53.51 Bn | 844.23 Mn | - |
| 4 | Carrier Global | 45.22 Bn | 39.85 Bn | 1.94 Bn | 3.00 Mn |
| 5 | Otis Worldwide | 24.48 Bn | 21.09 Bn | 1.14 Bn | -4.00 Mn |
| 6 | James Hardie Industries | 14.69 Bn | 13.43 Bn | 548.70 Mn | -1.40 Mn |
| 7 | Masco | 13.29 Bn | 11.40 Bn | 868.00 Mn | 1.00 Mn |
| 8 | Allegion | 13.08 Bn | 11.79 Bn | 517.50 Mn | -1.20 Mn |
| 9 | Carlisle Companies | 12.82 Bn | 9.17 Bn | 568.40 Mn | -300,000.00 |
| 10 | SPX Technologies | 8.49 Bn | 7.57 Bn | 272.80 Mn | 500,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 500,000.00 |
| Mar 28, 2026 | -100,000.00 |
| Dec 31, 2025 | 300,000.00 |
| Sep 27, 2025 | 100,000.00 |
| Jun 28, 2025 | 3.80 Mn |
| Mar 29, 2025 | 2.60 Mn |
| Dec 31, 2024 | -3.50 Mn |
| Sep 28, 2024 | 4.40 Mn |
| Jun 29, 2024 | -200,000.00 |
| Mar 30, 2024 | 1.30 Mn |
| Dec 31, 2023 | 900,000.00 |
| Sep 30, 2023 | -500,000.00 |
| Jul 1, 2023 | -1.50 Mn |
| Apr 1, 2023 | 1.00 Mn |
| Dec 31, 2022 | 1.60 Mn |
| Oct 1, 2022 | -500,000.00 |
| Jul 2, 2022 | 1.90 Mn |
| Apr 2, 2022 | -100,000.00 |
| Dec 31, 2021 | 400,000.00 |
| Oct 2, 2021 | 1.80 Mn |
API Access
SPX Technologies Exchange Rate Effect 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=exchange-rate-effect&ticker=SPXC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=SPXC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();