Enpro (NPO) Shares Outstanding (Diluted) (2010 - 2026)
Enpro (NPO) posted Shares Outstanding (Diluted) of 21.4 million for Q2 2026, up 0.9% from 21.2 million a year earlier and up 0.5% from the prior quarter.
Enpro (NPO) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
For FY2025, Enpro's Shares Outstanding (Diluted) came in at 21.2 million, up 0.5% from FY2024.
- Annual Shares Outstanding (Diluted) has increased for five consecutive years, with a five-year compound annual growth rate of 0.7% (FY2020 to FY2025).
- In prior years, Enpro's Shares Outstanding (Diluted) was 21.1 million in FY2024 (+0.5%), 21 million in FY2023 (+0.5%), 20.9 million in FY2022 (+0.5%) and 20.8 million in FY2021 (+1.5%).
- The Q2 2026 figure stands as the highest quarterly Shares Outstanding (Diluted) since Q1 2018.
- On a year-over-year basis, Shares Outstanding (Diluted) has increased in each of the last 13 quarters, with growth averaging 0.6% over the last eight quarters.
- Over the past five years, the year-over-year growth in Shares Outstanding (Diluted) ranged from 0.0% (Q2 2022) to 1.5% (Q4 2021).
- According to Business Quant data, Shares Outstanding (Diluted) for the three prior quarters was 21.3 million (Q1 2026), 21.2 million (Q4 2025) and 21.3 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 323.56 Bn | 295.25 Bn | 7.76 Bn | 462.50 Mn |
| 2 | Amphenol | 180.19 Bn | 174.89 Bn | 3.55 Bn | 2.58 Bn |
| 3 | Deere | 173.53 Bn | 182.29 Bn | 4.66 Bn | 270.70 Mn |
| 4 | Eaton | 143.22 Bn | 140.45 Bn | 2.86 Bn | 389.50 Mn |
| 5 | Parker-Hannifin | 112.51 Bn | 110.65 Bn | 2.25 Bn | 128.10 Mn |
| 6 | 3M | 90.71 Bn | 73.12 Bn | 2.78 Bn | 522.60 Mn |
| 7 | Emerson Electric | 89.39 Bn | 82.15 Bn | 2.66 Bn | 561.10 Mn |
| 8 | Illinois Tool Works | 79.53 Bn | 76.09 Bn | 1.90 Bn | 287.00 Mn |
| 9 | Vertiv Holdings | 75.29 Bn | 65.91 Bn | 1.23 Bn | 392.75 Mn |
| 10 | Enpro | 5.66 Bn | 5.25 Bn | 149.00 Mn | 21.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21.40 Mn |
| Mar 31, 2026 | 21.30 Mn |
| Dec 31, 2025 | 21.20 Mn |
| Sep 30, 2025 | 21.30 Mn |
| Jun 30, 2025 | 21.20 Mn |
| Mar 31, 2025 | 21.20 Mn |
| Dec 31, 2024 | 21.10 Mn |
| Sep 30, 2024 | 21.10 Mn |
| Jun 30, 2024 | 21.10 Mn |
| Mar 31, 2024 | 21.10 Mn |
| Dec 31, 2023 | 21.00 Mn |
| Sep 30, 2023 | 21.00 Mn |
| Jun 30, 2023 | 20.90 Mn |
| Mar 31, 2023 | 20.90 Mn |
| Dec 31, 2022 | 20.90 Mn |
| Sep 30, 2022 | 20.90 Mn |
| Jun 30, 2022 | 20.80 Mn |
| Mar 31, 2022 | 20.90 Mn |
| Dec 31, 2021 | 20.80 Mn |
| Sep 30, 2021 | 20.70 Mn |
Enpro 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=NPO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "NPO", "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=NPO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();