Ipg Photonics (IPGP) Total Current Liabilities (2010 - 2026)
Ipg Photonics (IPGP) recorded Total Current Liabilities of $239.32 million in Q2 2026, up 10.3% from $216.95 million a year earlier but down 3.2% from the prior quarter.
Ipg Photonics (IPGP) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Ipg Photonics reported Total Current Liabilities of $234.04 million, up 14.2% from FY2024.
- Annual Total Current Liabilities has a five-year compound annual growth rate of 1.8% (FY2020 to FY2025).
- Across earlier years, Total Current Liabilities came in at $205.02 million in FY2024 (-4.6%), $214.86 million in FY2023 (-21.8%), $274.65 million in FY2022 (-12.4%) and $313.43 million in FY2021 (+46.1%).
- Quarterly Total Current Liabilities has ranged from $190.48 million in Q2 2024 to $315.9 million in Q2 2022 over the past five years.
- On a year-over-year basis, Total Current Liabilities has increased for six consecutive quarters, with growth averaging 7.5% over the last eight quarters.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 46.1% in Q4 2021, against a decline of 27.8% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $247.18 million (Q1 2026), $234.04 million (Q4 2025) and $213.38 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 39.79 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 9.44 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | - |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 11.91 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 6.10 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 7.24 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 10.77 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 11.38 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 5.95 Bn |
| 10 | Ipg Photonics | 3.33 Bn | -64.39 Mn | 112.52 Mn | 239.32 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 239.32 Mn |
| Mar 31, 2026 | 247.18 Mn |
| Dec 31, 2025 | 234.04 Mn |
| Sep 30, 2025 | 213.38 Mn |
| Jun 30, 2025 | 216.95 Mn |
| Mar 31, 2025 | 197.03 Mn |
| Dec 31, 2024 | 205.02 Mn |
| Sep 30, 2024 | 194.18 Mn |
| Jun 30, 2024 | 190.48 Mn |
| Mar 31, 2024 | 192.13 Mn |
| Dec 31, 2023 | 214.86 Mn |
| Sep 30, 2023 | 219.71 Mn |
| Jun 30, 2023 | 228.19 Mn |
| Mar 31, 2023 | 249.52 Mn |
| Dec 31, 2022 | 274.65 Mn |
| Sep 30, 2022 | 295.79 Mn |
| Jun 30, 2022 | 315.90 Mn |
| Mar 31, 2022 | 279.84 Mn |
| Dec 31, 2021 | 313.43 Mn |
| Sep 30, 2021 | 292.84 Mn |
Ipg Photonics Total Current Liabilities 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=total-current-liabilities&ticker=IPGP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=IPGP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();