Esab (ESAB) Operating Expenses (2021 - 2026)
Esab (ESAB) posted Operating Expenses of $228.49 million for Q2 2026, up 45.6% from $156.95 million a year earlier and up 23.8% from the prior quarter.
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Analysis
Esab (ESAB) Operating Expenses (2021 - 2026) Analysis & Trends
For the trailing twelve months through Jul 3, 2026, Operating Expenses at Esab was $746.98 million, up 25.1% year-over-year; for FY2025, it was $636.17 million, up 7.8% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 5.8% (FY2020 to FY2025).
- In prior years, Esab's Operating Expenses was $590.01 million in FY2024 (-3.5%), $611.59 million in FY2023 (+9.9%), $556.47 million in FY2022 (+4.6%) and $531.77 million in FY2021 (+10.7%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses in data going back to Q1 2021.
- On a year-over-year basis, Operating Expenses has increased in each of the last six quarters, with growth averaging 12.6% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q2 2026, with growth of 45.6%; the weakest was Q1 2024, with a decline of 7.9%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $184.63 million (Q1 2026), $171.18 million (Q4 2025) and $162.68 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 340.33 Bn | 312.03 Bn | 7.76 Bn | 16.25 Bn |
| 2 | Amphenol | 195.04 Bn | 189.62 Bn | 3.55 Bn | 963.40 Mn |
| 3 | Deere | 171.72 Bn | 139.81 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 152.74 Bn | 149.93 Bn | 2.86 Bn | 1.46 Bn |
| 5 | Parker-Hannifin | 120.82 Bn | 118.95 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Emerson Electric | 91.30 Bn | 84.04 Bn | 2.66 Bn | 1.34 Bn |
| 7 | 3M | 90.37 Bn | 71.82 Bn | 2.78 Bn | 5.03 Bn |
| 8 | Vertiv Holdings | 81.71 Bn | 72.33 Bn | 1.23 Bn | 490.50 Mn |
| 9 | Illinois Tool Works | 79.34 Bn | 75.90 Bn | 1.90 Bn | - |
| 10 | Esab | 4.07 Bn | 2.45 Bn | 307.21 Mn | 228.49 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 228.49 Mn |
| Apr 3, 2026 | 184.63 Mn |
| Dec 31, 2025 | 171.18 Mn |
| Oct 3, 2025 | 162.68 Mn |
| Jul 4, 2025 | 156.95 Mn |
| Apr 4, 2025 | 145.36 Mn |
| Dec 31, 2024 | 146.90 Mn |
| Sep 27, 2024 | 147.78 Mn |
| Jun 28, 2024 | 150.96 Mn |
| Mar 29, 2024 | 144.37 Mn |
| Dec 31, 2023 | 151.01 Mn |
| Sep 29, 2023 | 148.57 Mn |
| Jun 30, 2023 | 155.28 Mn |
| Mar 31, 2023 | 156.73 Mn |
| Dec 31, 2022 | 145.81 Mn |
| Sep 30, 2022 | 128.34 Mn |
| Jul 1, 2022 | 141.59 Mn |
| Apr 1, 2022 | 140.72 Mn |
| Dec 31, 2021 | 139.75 Mn |
| Oct 1, 2021 | 128.33 Mn |
API Access
Esab Operating Expenses 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=operating-expenses&ticker=ESAB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ESAB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=ESAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();