MSA Safety (MSA) Total Non-Current Liabilities (2009 - 2026)
MSA Safety (MSA) reported Total Non-Current Liabilities of $1.19 billion for Q2 2026, down 7.5% from $1.29 billion a year earlier and down 0.7% from the prior quarter.
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Analysis
MSA Safety (MSA) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, MSA Safety posted Total Non-Current Liabilities of $1.18 billion, up 11.5% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of 6.2% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $1.06 billion in FY2024 (-11.8%), $1.2 billion in FY2023 (+7.4%), $1.12 billion in FY2022 (-6.4%) and $1.19 billion in FY2021 (+36.9%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $1.04 billion in Q1 2025 and a high of $1.41 billion in Q1 2023.
- Year over year, Total Non-Current Liabilities gained in four of the last eight quarters, with an average decline of 0.2%.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q3 2021 (growth of 43.3%); the low point was Q1 2024 (a decline of 16.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.2 billion (Q1 2026), $1.18 billion (Q4 2025) and $1.24 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 75.57 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 28.16 Bn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | - |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 23.97 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 14.72 Bn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 10.73 Bn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 18.30 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 23.79 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | 7.65 Bn |
| 10 | MSA Safety | 7.04 Bn | 6.33 Bn | 249.29 Mn | 1.19 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.19 Bn |
| Mar 31, 2026 | 1.20 Bn |
| Dec 31, 2025 | 1.18 Bn |
| Sep 30, 2025 | 1.24 Bn |
| Jun 30, 2025 | 1.29 Bn |
| Mar 31, 2025 | 1.04 Bn |
| Dec 31, 2024 | 1.06 Bn |
| Sep 30, 2024 | 1.14 Bn |
| Jun 30, 2024 | 1.20 Bn |
| Mar 31, 2024 | 1.18 Bn |
| Dec 31, 2023 | 1.20 Bn |
| Sep 30, 2023 | 1.32 Bn |
| Jun 30, 2023 | 1.36 Bn |
| Mar 31, 2023 | 1.41 Bn |
| Dec 31, 2022 | 1.12 Bn |
| Sep 30, 2022 | 1.19 Bn |
| Jun 30, 2022 | 1.20 Bn |
| Mar 31, 2022 | 1.19 Bn |
| Dec 31, 2021 | 1.19 Bn |
| Sep 30, 2021 | 1.22 Bn |
API Access
MSA Safety Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=MSA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=MSA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();