MSA Safety (MSA) Change in Inventory (2009 - 2026)
MSA Safety's Change in Inventory was -$2.27 million in Q2 2026, compared with $6.73 million a year earlier.
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Analysis
MSA Safety (MSA) Change in Inventory (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, MSA Safety's Change in Inventory was $5.74 million through Jun 30, 2026; for FY2025, it came in at $10.46 million, down 28.7% from FY2024.
- Change in Inventory shows a five-year compound annual growth rate of -5.2% (FY2020 to FY2025).
- In earlier years, Change in Inventory was $14.67 million in FY2024, -$51.59 million in FY2023, $67.37 million in FY2022 (+277.9%) and $17.83 million in FY2021 (+30.6%).
- Quarterly Change in Inventory has moved between -$44.86 million (Q4 2024) and $40.82 million (Q1 2022) over five years.
- Compared with a year earlier, Change in Inventory was higher in 1 of the last four quarters, with an average decline of 22.9%.
- The best year-over-year quarter for Change in Inventory over five years was Q1 2022 (growth of 277.0%); the worst was Q1 2023 (a decline of 81.9%).
- Per Business Quant data, MSA's Change in Inventory in the three quarters before Q2 2026 was $8.69 million (Q1 2026), -$12.62 million (Q4 2025) and $11.94 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 1.05 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | - |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | -295.00 Mn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | - |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | -7.00 Mn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 663.80 Mn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 60.00 Mn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 81.00 Mn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | 32.00 Mn |
| 10 | MSA Safety | 7.04 Bn | 6.33 Bn | 249.29 Mn | -2.27 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -2.27 Mn |
| Mar 31, 2026 | 8.69 Mn |
| Dec 31, 2025 | -12.62 Mn |
| Sep 30, 2025 | 11.94 Mn |
| Jun 30, 2025 | 6.73 Mn |
| Mar 31, 2025 | 4.42 Mn |
| Dec 31, 2024 | -44.86 Mn |
| Sep 30, 2024 | 26.73 Mn |
| Jun 30, 2024 | 17.85 Mn |
| Mar 31, 2024 | 14.95 Mn |
| Dec 31, 2023 | -36.20 Mn |
| Sep 30, 2023 | -9.49 Mn |
| Jun 30, 2023 | -13.30 Mn |
| Mar 31, 2023 | 7.40 Mn |
| Dec 31, 2022 | -19.23 Mn |
| Sep 30, 2022 | 16.87 Mn |
| Jun 30, 2022 | 28.91 Mn |
| Mar 31, 2022 | 40.82 Mn |
| Dec 31, 2021 | -18.51 Mn |
| Sep 30, 2021 | 14.78 Mn |
API Access
MSA Safety Change in Inventory 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=change-in-inventory&ticker=MSA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "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=change-in-inventory&ticker=MSA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();