Appsoft Technologies (ASFT) Property, Plant & Equipment (Net) (2016 - 2021)
Appsoft Technologies' Property, Plant & Equipment (Net) was $103.00 in Q1 2021, down 80.2% from $519.00 a year earlier and down 50.2% from the prior quarter.
Appsoft Technologies (ASFT) Property, Plant & Equipment (Net) (2016 - 2021) Analysis & Trends
At the end of FY2020, Property, Plant & Equipment (Net) at Appsoft Technologies came in at $207.00, down 66.8% from FY2019.
- Property, Plant & Equipment (Net) has now declined for four consecutive years, with a four-year compound annual growth rate of -42.3% (FY2016 to FY2020).
- In earlier years, Property, Plant & Equipment (Net) was $623.00 in FY2019 (-40.0%), $1,039 in FY2018 (-28.6%), $1,455 in FY2017 (-22.2%) and $1,871 in FY2016.
- The Q1 2021 figure marks the lowest quarterly Property, Plant & Equipment (Net) in data going back to Q3 2016.
- Compared with a year earlier, Property, Plant & Equipment (Net) has declined for 15 straight quarters, with an average decline of 51.1% over the last eight quarters.
- Across the past five years, year-over-year decline in Property, Plant & Equipment (Net) ran from 21.1% in Q3 2017 to 80.2% in Q1 2021.
- Per Business Quant data, ASFT's Property, Plant & Equipment (Net) in the three quarters before Q1 2021 was $207.00 (Q4 2020), $311.00 (Q3 2020) and $415.00 (Q2 2020).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,173.87 Bn | 3,931.39 Bn | 73.85 Bn | 321.21 Bn |
| 2 | Meta Platforms | 1,849.67 Bn | 1,552.19 Bn | 49.47 Bn | 225.72 Bn |
| 3 | Netflix | 279.23 Bn | 239.43 Bn | 6.52 Bn | 2.40 Bn |
| 4 | Alibaba Group Holding | 245.86 Bn | 63.73 Bn | 15.11 Bn | 46.06 Bn |
| 5 | Shopify | 196.08 Bn | 173.27 Bn | 1.71 Bn | 53.00 Mn |
| 6 | Uber Technologies | 138.90 Bn | 110.88 Bn | 6.38 Bn | 1.81 Bn |
| 7 | Booking Holdings | 119.48 Bn | 52.53 Bn | - | 767.00 Mn |
| 8 | PDD Holdings | 107.30 Bn | -144.64 Bn | 9.45 Bn | 700.00 Mn |
| 9 | Spotify Technology | 97.33 Bn | 54.56 Bn | 1.86 Bn | 224.34 Mn |
| 10 | Appsoft Technologies | 1.12 Mn | 1.12 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2021 | 103.00 |
| Dec 31, 2020 | 207.00 |
| Sep 30, 2020 | 311.00 |
| Jun 30, 2020 | 415.00 |
| Mar 31, 2020 | 519.00 |
| Dec 31, 2019 | 623.00 |
| Sep 30, 2019 | 727.00 |
| Jun 30, 2019 | 831.00 |
| Mar 31, 2019 | 935.00 |
| Dec 31, 2018 | 1,039.00 |
| Sep 30, 2018 | 1,143.00 |
| Jun 30, 2018 | 1,247.00 |
| Mar 31, 2018 | 1,351.00 |
| Dec 31, 2017 | 1,455.00 |
| Sep 30, 2017 | 1,559.00 |
| Jun 30, 2017 | 1,663.00 |
| Mar 31, 2017 | 1,767.00 |
| Dec 31, 2016 | 1,871.00 |
| Sep 30, 2016 | 1,975.00 |
Appsoft Technologies Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=ASFT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "ASFT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=property-plant-and-equipment-net&ticker=ASFT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();