Ipg Photonics (IPGP) EBITDA (2010 - 2026)
Ipg Photonics' EBITDA came in at $20.05 million for Q2 2026, up 25.9% from $15.93 million a year earlier and up 145.9% from the prior quarter.
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Analysis
Ipg Photonics (IPGP) EBITDA (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Ipg Photonics reported EBITDA of $75.07 million; for FY2025, it came in at $79.96 million.
- EBITDA carries a five-year compound annual growth rate of -22.9% (FY2020 to FY2025).
- Going back by year, EBITDA was -$146.81 million in FY2024, $301.59 million in FY2023 (+16.0%), $260.06 million in FY2022 (-44.0%) and $464.21 million in FY2021 (+58.3%).
- The five-year range for quarterly EBITDA is -$238.23 million (Q3 2024) to $126.14 million (Q3 2021).
- Year-over-year, EBITDA increased in 1 of the last six quarters, with an average decline of 29.3%.
- The fastest year-over-year change in EBITDA over five years came in Q3 2021 (growth of 93.3%), and the weakest in Q2 2024 (a decline of 69.5%).
- Business Quant data shows IPGP's EBITDA at $8.16 million (Q1 2026), $23.37 million (Q4 2025) and $23.49 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 | 324.58 Bn | 296.27 Bn | 7.76 Bn | 4.91 Bn |
| 2 | Amphenol | 179.59 Bn | 174.17 Bn | 3.55 Bn | 2.93 Bn |
| 3 | Deere | 173.82 Bn | 141.91 Bn | 4.66 Bn | 2.46 Bn |
| 4 | Eaton | 143.34 Bn | 140.52 Bn | 2.86 Bn | 1.79 Bn |
| 5 | Parker-Hannifin | 112.68 Bn | 110.80 Bn | 2.25 Bn | 1.61 Bn |
| 6 | 3M | 91.08 Bn | 72.52 Bn | 2.78 Bn | 1.89 Bn |
| 7 | Emerson Electric | 89.36 Bn | 82.10 Bn | 2.66 Bn | 1.69 Bn |
| 8 | Illinois Tool Works | 79.89 Bn | 76.44 Bn | 1.90 Bn | 1.25 Bn |
| 9 | Vertiv Holdings | 75.22 Bn | 65.84 Bn | 1.23 Bn | 754.30 Mn |
| 10 | Ipg Photonics | 2.94 Bn | -454.77 Mn | 112.52 Mn | 20.05 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.05 Mn |
| Mar 31, 2026 | 8.16 Mn |
| Dec 31, 2025 | 23.37 Mn |
| Sep 30, 2025 | 23.49 Mn |
| Jun 30, 2025 | 15.93 Mn |
| Mar 31, 2025 | 17.17 Mn |
| Dec 31, 2024 | 28.77 Mn |
| Sep 30, 2024 | -238.23 Mn |
| Jun 30, 2024 | 27.33 Mn |
| Mar 31, 2024 | 35.31 Mn |
| Dec 31, 2023 | 45.72 Mn |
| Sep 30, 2023 | 73.04 Mn |
| Jun 30, 2023 | 89.52 Mn |
| Mar 31, 2023 | 93.32 Mn |
| Dec 31, 2022 | -67.77 Mn |
| Sep 30, 2022 | 115.91 Mn |
| Jun 30, 2022 | 95.34 Mn |
| Mar 31, 2022 | 116.58 Mn |
| Dec 31, 2021 | 109.01 Mn |
| Sep 30, 2021 | 126.14 Mn |
API Access
Ipg Photonics 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=IPGP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "IPGP", "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=IPGP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();