MSA Safety (MSA) EBITDA (2009 - 2026)
MSA Safety's EBITDA came in at $131.28 million for Q2 2026, up 26.3% from $103.96 million a year earlier and up 17.9% from the prior quarter.
Powered by 
Analysis
MSA Safety (MSA) EBITDA (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, MSA Safety reported EBITDA of $488.08 million, up 11.0% year-over-year; for FY2025, it came in at $443.41 million, down 2.2% from FY2024.
- EBITDA carries a five-year compound annual growth rate of 15.9% (FY2020 to FY2025).
- Going back by year, EBITDA was $453.51 million in FY2024 (+55.3%), $292.09 million in FY2023 (-1.1%), $295.45 million in FY2022 (+304.2%) and $73.1 million in FY2021 (-65.5%).
- The five-year range for quarterly EBITDA is -$74.79 million (Q4 2021) to $134.41 million (Q4 2024).
- Year-over-year, EBITDA increased in four of the last eight quarters, with growth averaging 6.0%.
- The fastest year-over-year change in EBITDA over five years came in Q3 2022 (growth of 67.7%), and the weakest in Q2 2025 (a decline of 10.4%).
- Business Quant data shows MSA's EBITDA at $111.37 million (Q1 2026), $132.54 million (Q4 2025) and $112.9 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 4.91 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 2.93 Bn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | 2.46 Bn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 1.79 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 1.61 Bn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 753.70 Mn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 1.69 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 1.32 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | 1.25 Bn |
| 10 | MSA Safety | 7.04 Bn | 6.33 Bn | 249.29 Mn | 131.28 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 131.28 Mn |
| Mar 31, 2026 | 111.37 Mn |
| Dec 31, 2025 | 132.54 Mn |
| Sep 30, 2025 | 112.90 Mn |
| Jun 30, 2025 | 103.96 Mn |
| Mar 31, 2025 | 94.01 Mn |
| Dec 31, 2024 | 134.41 Mn |
| Sep 30, 2024 | 107.44 Mn |
| Jun 30, 2024 | 115.99 Mn |
| Mar 31, 2024 | 95.67 Mn |
| Dec 31, 2023 | 118.06 Mn |
| Sep 30, 2023 | 109.63 Mn |
| Jun 30, 2023 | 109.90 Mn |
| Mar 31, 2023 | -45.49 Mn |
| Dec 31, 2022 | 85.05 Mn |
| Sep 30, 2022 | 78.11 Mn |
| Jun 30, 2022 | 75.46 Mn |
| Mar 31, 2022 | 56.83 Mn |
| Dec 31, 2021 | -74.79 Mn |
| Sep 30, 2021 | 46.58 Mn |
API Access
MSA Safety EBITDA 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=ebitda&ticker=MSA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=MSA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();