MSA Safety (MSA) Shares Outstanding (Entity) (2009 - 2026)
MSA Safety's Shares Outstanding (Entity) came in at 38.6 million for Q2 2026, down 1.4% from 39.14 million a year earlier and down 0.3% from the prior quarter.
MSA Safety (MSA) Shares Outstanding (Entity) (2009 - 2026) Analysis & Trends
For FY2025, MSA Safety's Shares Outstanding (Entity) was 38.91 million, down 0.9% from FY2024.
- Shares Outstanding (Entity) carries a five-year compound annual growth rate of -0.1% (FY2020 to FY2025).
- Going back by year, Shares Outstanding (Entity) was 39.26 million in FY2024 (-0.1%), 39.32 million in FY2023 (+0.3%), 39.21 million in FY2022 (-0.2%) and 39.28 million in FY2021 (+0.5%).
- The Q2 2026 figure represents the lowest quarterly Shares Outstanding (Entity) since Q4 2018.
- Year-over-year, Shares Outstanding (Entity) has declined for seven consecutive quarters, with an average decline of 0.6% over the last eight quarters.
- The fastest year-over-year change in Shares Outstanding (Entity) over five years came in Q3 2021 (growth of 0.7%), and the weakest in Q1 2026 (a decline of 1.5%).
- Business Quant data shows MSA's Shares Outstanding (Entity) at 38.73 million (Q1 2026), 38.91 million (Q4 2025) and 39.15 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 459.70 Mn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 2.47 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 269.63 Mn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 388.40 Mn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 126.05 Mn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 384.94 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 557.80 Mn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 515.72 Mn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 284.80 Mn |
| 10 | MSA Safety | 6.88 Bn | 6.16 Bn | 249.29 Mn | 38.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 38.60 Mn |
| Mar 31, 2026 | 38.73 Mn |
| Dec 31, 2025 | 38.91 Mn |
| Sep 30, 2025 | 39.15 Mn |
| Jun 30, 2025 | 39.14 Mn |
| Mar 31, 2025 | 39.31 Mn |
| Dec 31, 2024 | 39.26 Mn |
| Sep 30, 2024 | 39.31 Mn |
| Jun 30, 2024 | 39.35 Mn |
| Mar 31, 2024 | 39.38 Mn |
| Dec 31, 2023 | 39.32 Mn |
| Sep 30, 2023 | 39.31 Mn |
| Jun 30, 2023 | 39.30 Mn |
| Mar 31, 2023 | 39.27 Mn |
| Dec 31, 2022 | 39.21 Mn |
| Sep 30, 2022 | 39.20 Mn |
| Jun 30, 2022 | 39.13 Mn |
| Mar 31, 2022 | 39.34 Mn |
| Dec 31, 2021 | 39.28 Mn |
| Sep 30, 2021 | 39.21 Mn |
MSA Safety Shares Outstanding (Entity) 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-entity&ticker=MSA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "ticker": "MSA", "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-entity&ticker=MSA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();