Ptc (PTC) Long-Term Investments (2016 - 2020)
Ptc's Long-Term Investments came in at $30.97 million for fiscal Q4 2020 (quarter ended Sep 30, 2020), up 4.8% from $29.54 million a year earlier but down 3.1% from the prior quarter.
Ptc (PTC) Long-Term Investments (2016 - 2020) Analysis & Trends
Going back to fiscal Q3 2016, Ptc's Long-Term Investments data covers 18 quarters.
- Long-Term Investments carries a four-year compound annual growth rate of 0.0% (FY2016 to FY2020).
- Going back by fiscal year, Long-Term Investments was $29.54 million in FY2019 (-1.9%), $30.12 million in FY2018 (-5.6%), $31.91 million in FY2017 (+3.2%) and $30.92 million in FY2016.
- The five-year range for quarterly Long-Term Investments is $21.55 million (fiscal Q3 2019) to $33.23 million (fiscal Q3 2016).
- Year-over-year, Long-Term Investments increased in two of the last eight quarters, with an average decline of 2.5%.
- The fastest year-over-year change in Long-Term Investments over five years came in fiscal Q3 2020 (growth of 48.3%), and the weakest in fiscal Q3 2019 (a decline of 32.3%).
- Business Quant data shows PTC's Long-Term Investments at $31.96 million (Q3 2020), $22.69 million (Q2 2020) and $28.22 million (Q1 2020) in the three fiscal quarters before Q4 2020.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 46.20 Bn | 18.45 Bn | 695.95 Mn | - |
| 3 | Samsara | 22.32 Bn | 19.09 Bn | 392.58 Mn | 496.78 Mn |
| 4 | Toast | 16.73 Bn | 9.40 Bn | 516.00 Mn | - |
| 5 | Ptc | 15.53 Bn | 14.35 Bn | 490.47 Mn | - |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn | 102.69 Mn |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn | 617.40 Mn |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn | - |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn | - |
| 10 | Bentley Systems | 9.64 Bn | 9.10 Bn | 336.74 Mn | 41.92 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2020 | 30.97 Mn |
| Jun 27, 2020 | 31.96 Mn |
| Mar 28, 2020 | 22.69 Mn |
| Dec 28, 2019 | 28.22 Mn |
| Sep 30, 2019 | 29.54 Mn |
| Jun 29, 2019 | 21.55 Mn |
| Mar 30, 2019 | 30.99 Mn |
| Dec 29, 2018 | 30.05 Mn |
| Sep 30, 2018 | 30.12 Mn |
| Jun 30, 2018 | 31.82 Mn |
| Mar 31, 2018 | 32.47 Mn |
| Dec 30, 2017 | 30.42 Mn |
| Sep 30, 2017 | 31.91 Mn |
| Jul 1, 2017 | 30.91 Mn |
| Apr 1, 2017 | 24.64 Mn |
| Dec 31, 2016 | 27.10 Mn |
| Sep 30, 2016 | 30.92 Mn |
| Jul 2, 2016 | 33.23 Mn |
Ptc Long-Term Investments 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=long-term-investments&ticker=PTC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "ticker": "PTC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=long-term-investments&ticker=PTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();