SPX Technologies (SPXC) Shares Outstanding (Diluted) (2009 - 2026)
SPX Technologies' Weighted Average Shares Outstanding (Diluted) came in at 50.68 million for Q3 2026, up 3.6% from 48.92 million a year earlier and unchanged from the prior quarter.
SPX Technologies (SPXC) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, SPX Technologies' Weighted Average Shares Outstanding (Diluted) was 48.51 million, up 3.0% from FY2024.
- Weighted Average Shares Outstanding (Diluted) has increased in each of the last three years, with a five-year compound annual growth rate of 1.2% (FY2020 to FY2025).
- Going back by year, Weighted Average Shares Outstanding (Diluted) was 47.08 million in FY2024 (+1.0%), 46.61 million in FY2023 (+0.8%), 46.22 million in FY2022 (-0.6%) and 46.5 million in FY2021 (+1.6%).
- Year-over-year, Weighted Average Shares Outstanding (Diluted) has increased for 14 consecutive quarters, with growth averaging 3.3% over the last eight quarters.
- The fastest year-over-year change in Weighted Average Shares Outstanding (Diluted) over five years came in Q1 2026 (growth of 7.2%), and the weakest in Q3 2022 (a decline of 1.1%).
- Business Quant data shows SPXC's Weighted Average Shares Outstanding (Diluted) at 50.68 million (Q2 2026), 50.52 million (Q1 2026) and 48.51 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 89.86 Bn | 84.50 Bn | 2.38 Bn | 221.40 Mn |
| 2 | Johnson Controls International | 85.11 Bn | 82.88 Bn | 2.47 Bn | 610.00 Mn |
| 3 | Carrier Global | 45.53 Bn | 40.27 Bn | 1.90 Bn | 821.80 Mn |
| 4 | Comfort Systems Usa | 38.14 Bn | 32.09 Bn | 934.48 Mn | 35.15 Mn |
| 5 | Otis Worldwide | 30.38 Bn | 26.93 Bn | 1.16 Bn | 381.90 Mn |
| 6 | James Hardie Industries | 17.15 Bn | 16.22 Bn | 548.70 Mn | 584.30 Mn |
| 7 | Masco | 16.74 Bn | 14.80 Bn | 720.00 Mn | 196.00 Mn |
| 8 | Allegion | 16.26 Bn | 14.88 Bn | 548.20 Mn | 85.20 Mn |
| 9 | Carlisle Companies | 15.48 Bn | 12.38 Bn | 494.90 Mn | 39.60 Mn |
| 10 | SPX Technologies | 7.68 Bn | 6.88 Bn | 279.50 Mn | 50.65 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 50.65 Mn |
| Jun 27, 2026 | 50.68 Mn |
| Mar 28, 2026 | 50.52 Mn |
| Dec 31, 2025 | 48.51 Mn |
| Sep 27, 2025 | 48.92 Mn |
| Jun 28, 2025 | 47.40 Mn |
| Mar 29, 2025 | 47.12 Mn |
| Dec 31, 2024 | 47.08 Mn |
| Sep 28, 2024 | 47.27 Mn |
| Jun 29, 2024 | 47.16 Mn |
| Mar 30, 2024 | 46.68 Mn |
| Dec 31, 2023 | 46.61 Mn |
| Sep 30, 2023 | 46.75 Mn |
| Jul 1, 2023 | 46.63 Mn |
| Apr 1, 2023 | 46.40 Mn |
| Dec 31, 2022 | 46.22 Mn |
| Oct 1, 2022 | 46.13 Mn |
| Jul 2, 2022 | 46.29 Mn |
| Apr 2, 2022 | 46.45 Mn |
| Dec 31, 2021 | 46.50 Mn |
SPX Technologies Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=SPXC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=SPXC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();