SPX Technologies (SPXC) Tax Provisions (2009 - 2026)
SPX Technologies (SPXC) recorded Tax Provisions of $22.9 million in Q2 2026, up 31.6% from $17.4 million a year earlier and up 76.2% from the prior quarter.
SPX Technologies (SPXC) Tax Provisions (2009 - 2026) Analysis & Trends
On a TTM basis, SPX Technologies' Tax Provisions came in at $80.9 million as of Jun 27, 2026, up 34.6% year-over-year; for FY2025, it came in at $68.6 million, up 28.0% from FY2024.
- Annual Tax Provisions has increased for three straight years, with a five-year compound annual growth rate of 70.2% (FY2020 to FY2025).
- Across earlier years, Tax Provisions came in at $53.6 million in FY2024 (+28.8%), $41.6 million in FY2023 (+469.9%), $7.3 million in FY2022 (-33.0%) and $10.9 million in FY2021 (+127.1%).
- Quarterly Tax Provisions has ranged from -$2.5 million in Q3 2022 to $26.6 million in Q4 2025 over the past five years.
- On a year-over-year basis, Tax Provisions has increased for nine consecutive quarters, with growth averaging 70.2% over the last eight quarters.
- Peak year-over-year performance for Tax Provisions in the last five years was growth of 334.6% in Q1 2023, against a decline of 83.2% in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $13 million (Q1 2026), $26.6 million (Q4 2025) and $18.4 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 98.74 Bn | 93.48 Bn | 2.26 Bn | 218.20 Mn |
| 2 | Johnson Controls International | 95.34 Bn | 95.38 Bn | 2.71 Bn | 93.00 Mn |
| 3 | Comfort Systems Usa | 47.16 Bn | 41.12 Bn | 934.48 Mn | 146.01 Mn |
| 4 | Carrier Global | 46.39 Bn | 41.03 Bn | 1.94 Bn | 180.00 Mn |
| 5 | Otis Worldwide | 27.77 Bn | 27.88 Bn | - | 126.00 Mn |
| 6 | Allegion | 15.37 Bn | 15.37 Bn | - | 46.90 Mn |
| 7 | James Hardie Industries | 15.14 Bn | 14.20 Bn | 548.70 Mn | 53.00 Mn |
| 8 | Masco | 14.67 Bn | 12.74 Bn | 720.00 Mn | 82.00 Mn |
| 9 | Carlisle Companies | 13.75 Bn | 13.75 Bn | - | 62.50 Mn |
| 10 | SPX Technologies | 8.28 Bn | 7.36 Bn | 272.80 Mn | 22.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 22.90 Mn |
| Mar 28, 2026 | 13.00 Mn |
| Dec 31, 2025 | 26.60 Mn |
| Sep 27, 2025 | 18.40 Mn |
| Jun 28, 2025 | 17.40 Mn |
| Mar 29, 2025 | 6.20 Mn |
| Dec 31, 2024 | 21.40 Mn |
| Sep 28, 2024 | 15.10 Mn |
| Jun 29, 2024 | 15.20 Mn |
| Mar 30, 2024 | 1.90 Mn |
| Dec 31, 2023 | 10.10 Mn |
| Sep 30, 2023 | 12.40 Mn |
| Jul 1, 2023 | 7.80 Mn |
| Apr 1, 2023 | 11.30 Mn |
| Dec 31, 2022 | 2.80 Mn |
| Oct 1, 2022 | -2.50 Mn |
| Jul 2, 2022 | 4.40 Mn |
| Apr 2, 2022 | 2.60 Mn |
| Dec 31, 2021 | -1.00 Mn |
| Oct 2, 2021 | 4.20 Mn |
SPX Technologies Tax Provisions 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=tax-provisions&ticker=SPXC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=SPXC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();