Ipg Photonics (IPGP) Total Non-Current Liabilities (2010 - 2017)
Ipg Photonics (IPGP) recorded Total Non-Current Liabilities of $194.58 million in Q1 2017, up 15.9% from $167.84 million a year earlier but down 0.7% from the prior quarter.
Ipg Photonics (IPGP) Total Non-Current Liabilities (2010 - 2017) Analysis & Trends
At the end of FY2016, Ipg Photonics reported Total Non-Current Liabilities of $195.91 million, up 22.9% from FY2015.
- Annual Total Non-Current Liabilities has increased for three straight years, with a five-year compound annual growth rate of 4.7% (FY2011 to FY2016).
- Across earlier years, Total Non-Current Liabilities came in at $159.46 million in FY2015 (+12.5%), $141.74 million in FY2014 (+27.2%), $111.41 million in FY2013 (-20.1%) and $139.47 million in FY2012 (-10.3%).
- Quarterly Total Non-Current Liabilities has ranged from $100.64 million in Q1 2013 to $195.91 million in Q4 2016 over the past five years.
- On a year-over-year basis, Total Non-Current Liabilities has increased for 13 consecutive quarters, with growth averaging 20.5% over the last eight quarters.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 30.5% in Q3 2015, against a decline of 39.6% in Q1 2013 at the low end.
- Per Business Quant, the preceding three quarters came in at $195.91 million (Q4 2016), $194.06 million (Q3 2016) and $174.21 million (Q2 2016).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 75.57 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 28.16 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | - |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 23.97 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 14.72 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 10.73 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 18.30 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 23.79 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 7.65 Bn |
| 10 | Ipg Photonics | 3.33 Bn | -64.39 Mn | 112.52 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2017 | 194.58 Mn |
| Dec 31, 2016 | 195.91 Mn |
| Sep 30, 2016 | 194.06 Mn |
| Jun 30, 2016 | 174.21 Mn |
| Mar 31, 2016 | 167.84 Mn |
| Dec 31, 2015 | 159.46 Mn |
| Sep 30, 2015 | 167.02 Mn |
| Jun 30, 2015 | 144.44 Mn |
| Mar 31, 2015 | 142.30 Mn |
| Dec 31, 2014 | 141.74 Mn |
| Sep 30, 2014 | 128.01 Mn |
| Jun 30, 2014 | 113.17 Mn |
| Mar 31, 2014 | 114.28 Mn |
| Dec 31, 2013 | 111.41 Mn |
| Sep 30, 2013 | 117.47 Mn |
| Jun 30, 2013 | 107.20 Mn |
| Mar 31, 2013 | 100.64 Mn |
| Dec 31, 2012 | 139.47 Mn |
| Sep 30, 2012 | 135.62 Mn |
| Jun 30, 2012 | 118.45 Mn |
Ipg Photonics Total Non-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-non-current-liabilities&ticker=IPGP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-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-non-current-liabilities&ticker=IPGP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();