MSA Safety (MSA) Property, Plant & Equipment (Net) (2009 - 2026)
MSA Safety (MSA) recorded Property, Plant & Equipment (Net) of $276.69 million in Q2 2026, down 1.0% from $279.42 million a year earlier and down 0.5% from the prior quarter.
MSA Safety (MSA) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
At the end of FY2025, MSA Safety reported Property, Plant & Equipment (Net) of $283.06 million, up 33.6% from FY2024.
- Annual Property, Plant & Equipment (Net) has a five-year compound annual growth rate of 8.3% (FY2020 to FY2025).
- Across earlier years, Property, Plant & Equipment (Net) came in at $211.87 million in FY2024 (unchanged), $211.88 million in FY2023 (+2.1%), $207.55 million in FY2022 (-0.1%) and $207.79 million in FY2021 (+9.6%).
- The Q2 2026 figure is the lowest quarterly Property, Plant & Equipment (Net) since Q1 2025.
- On a year-over-year basis, Property, Plant & Equipment (Net) rose in six of the last eight quarters, with growth averaging 16.2%.
- Peak year-over-year performance for Property, Plant & Equipment (Net) in the last five years was growth of 33.6% in Q4 2025, against a decline of 2.4% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $278.06 million (Q1 2026), $283.06 million (Q4 2025) and $278.48 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 15.63 Bn |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | 2.93 Bn |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | - |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 4.70 Bn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 3.02 Bn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 1.18 Bn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 2.86 Bn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | 6.88 Bn |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 2.24 Bn |
| 10 | MSA Safety | 7.00 Bn | 6.28 Bn | 249.29 Mn | 276.69 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 276.69 Mn |
| Mar 31, 2026 | 278.06 Mn |
| Dec 31, 2025 | 283.06 Mn |
| Sep 30, 2025 | 278.48 Mn |
| Jun 30, 2025 | 279.42 Mn |
| Mar 31, 2025 | 211.71 Mn |
| Dec 31, 2024 | 211.87 Mn |
| Sep 30, 2024 | 216.65 Mn |
| Jun 30, 2024 | 213.16 Mn |
| Mar 31, 2024 | 210.96 Mn |
| Dec 31, 2023 | 211.88 Mn |
| Sep 30, 2023 | 205.65 Mn |
| Jun 30, 2023 | 206.07 Mn |
| Mar 31, 2023 | 207.12 Mn |
| Dec 31, 2022 | 207.55 Mn |
| Sep 30, 2022 | 199.53 Mn |
| Jun 30, 2022 | 203.04 Mn |
| Mar 31, 2022 | 206.00 Mn |
| Dec 31, 2021 | 207.79 Mn |
| Sep 30, 2021 | 204.41 Mn |
MSA Safety Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=MSA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=MSA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();