MSA Safety (MSA) Long-Term Debt Repayments (2010 - 2026)
MSA Safety (MSA) posted Long-Term Debt Repayments of $513 million for Q2 2026, up 181.9% from $182 million a year earlier and up 95.6% from the prior quarter.
MSA Safety (MSA) Long-Term Debt Repayments (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Long-Term Debt Repayments at MSA Safety was $1.42 billion, up 32.6% year-over-year; for FY2025, it came in at $1.08 billion, down 13.5% from FY2024.
- Annual Long-Term Debt Repayments shows a five-year compound annual growth rate of 0.9% (FY2020 to FY2025).
- In prior years, MSA Safety's Long-Term Debt Repayments was $1.24 billion in FY2024 (-33.5%), $1.87 billion in FY2023 (+82.9%), $1.02 billion in FY2022 (-24.0%) and $1.35 billion in FY2021 (+30.6%).
- The Q2 2026 figure stands as the highest quarterly Long-Term Debt Repayments since Q4 2023.
- On a year-over-year basis, Long-Term Debt Repayments has increased in each of the last three quarters, with growth averaging 7.0% over the last eight quarters.
- The strongest year-over-year quarter for Long-Term Debt Repayments in the past five years was Q2 2026, with growth of 181.9%; the weakest was Q3 2022, with a decline of 48.0%.
- According to Business Quant data, Long-Term Debt Repayments for the three prior quarters was $262.24 million (Q1 2026), $355 million (Q4 2025) and $285.92 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 338.35 Bn | 310.05 Bn | 7.76 Bn | 1.54 Bn |
| 2 | Amphenol | 196.58 Bn | 191.16 Bn | 3.55 Bn | 1.19 Bn |
| 3 | Deere | 170.02 Bn | 138.12 Bn | 4.66 Bn | 2.40 Bn |
| 4 | Eaton | 151.86 Bn | 149.05 Bn | 2.86 Bn | 74.00 Mn |
| 5 | Parker-Hannifin | 120.43 Bn | 118.55 Bn | 2.25 Bn | 10.00 Mn |
| 6 | Emerson Electric | 91.10 Bn | 83.83 Bn | 2.66 Bn | 1.42 Bn |
| 7 | 3M | 89.06 Bn | 70.46 Bn | 2.68 Bn | - |
| 8 | Vertiv Holdings | 81.48 Bn | 72.10 Bn | 1.23 Bn | - |
| 9 | Illinois Tool Works | 79.16 Bn | 75.71 Bn | 1.90 Bn | - |
| 10 | MSA Safety | 7.08 Bn | 6.36 Bn | 249.29 Mn | 513.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 513.00 Mn |
| Mar 31, 2026 | 262.24 Mn |
| Dec 31, 2025 | 355.00 Mn |
| Sep 30, 2025 | 285.92 Mn |
| Jun 30, 2025 | 182.00 Mn |
| Mar 31, 2025 | 253.47 Mn |
| Dec 31, 2024 | 324.25 Mn |
| Sep 30, 2024 | 308.39 Mn |
| Jun 30, 2024 | 280.25 Mn |
| Mar 31, 2024 | 331.01 Mn |
| Dec 31, 2023 | 532.75 Mn |
| Sep 30, 2023 | 467.25 Mn |
| Jun 30, 2023 | 365.51 Mn |
| Mar 31, 2023 | 505.59 Mn |
| Dec 31, 2022 | 252.00 Mn |
| Sep 30, 2022 | 236.00 Mn |
| Jun 30, 2022 | 277.00 Mn |
| Mar 31, 2022 | 258.00 Mn |
| Dec 31, 2021 | 313.68 Mn |
| Sep 30, 2021 | 454.15 Mn |
MSA Safety Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=MSA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=MSA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();