Ipg Photonics (IPGP) Research & Development (2010 - 2026)
Ipg Photonics (IPGP) reported Research & Development of $31 million for Q2 2026, up 3.6% from $29.94 million a year earlier but down 6.9% from the prior quarter.
Ipg Photonics (IPGP) Research & Development (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Ipg Photonics' Research & Development came in at $123.44 million, up 11.0% year-over-year; for FY2025, it came in at $117.4 million, up 6.9% from FY2024.
- Research & Development has a five-year compound annual growth rate of -1.5% (FY2020 to FY2025).
- By year, Research & Development came in at $109.78 million in FY2024 (+11.2%), $98.7 million in FY2023 (-15.0%), $116.11 million in FY2022 (-16.8%) and $139.57 million in FY2021 (+10.0%).
- Five-year quarterly Research & Development spans a low of $22.77 million in Q1 2023 and a high of $36.77 million in Q4 2021.
- Year over year, Research & Development has now increased in each of the last five quarters, with growth averaging 6.6% over the last eight quarters.
- The high point for year-over-year Research & Development in five years was Q1 2024 (growth of 29.0%); the low point was Q1 2023 (a decline of 31.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $33.31 million (Q1 2026), $28.77 million (Q4 2025) and $30.36 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 616.00 Mn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | - |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 567.00 Mn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 227.00 Mn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | - |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | - |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | - |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 302.00 Mn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | - |
| 10 | Ipg Photonics | 3.33 Bn | -64.39 Mn | 112.52 Mn | 31.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 31.00 Mn |
| Mar 31, 2026 | 33.31 Mn |
| Dec 31, 2025 | 28.77 Mn |
| Sep 30, 2025 | 30.36 Mn |
| Jun 30, 2025 | 29.94 Mn |
| Mar 31, 2025 | 28.34 Mn |
| Dec 31, 2024 | 25.74 Mn |
| Sep 30, 2024 | 27.18 Mn |
| Jun 30, 2024 | 27.49 Mn |
| Mar 31, 2024 | 29.38 Mn |
| Dec 31, 2023 | 27.71 Mn |
| Sep 30, 2023 | 24.71 Mn |
| Jun 30, 2023 | 23.51 Mn |
| Mar 31, 2023 | 22.77 Mn |
| Dec 31, 2022 | 26.62 Mn |
| Sep 30, 2022 | 25.44 Mn |
| Jun 30, 2022 | 30.61 Mn |
| Mar 31, 2022 | 33.45 Mn |
| Dec 31, 2021 | 36.77 Mn |
| Sep 30, 2021 | 34.28 Mn |
Ipg Photonics Research & Development 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=research-and-development&ticker=IPGP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=IPGP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();