Evogene (EVGN) Pension (2012 - 2019)
Evogene's Pension came in at $8,000 for the quarter ended Dec 31, 2019, down 74.2% from $31,000 a year earlier and down 71.4% from the prior quarter.
Analysis
Evogene (EVGN) Pension (2012 - 2019) Analysis & Trends
Going back to the quarter ended Dec 31, 2012, Evogene's Pension data covers 29 quarters.
- Pension carries a five-year compound annual growth rate of -22.7% (years ended Dec 2014 to Dec 2019).
- Going back by year, Pension was $31,000 in the year ended Dec 31, 2018 (-6.1%), $33,000 in the year ended Dec 31, 2017 (+6.5%), $31,000 in the year ended Dec 31, 2016 (+19.2%) and $26,000 in the year ended Dec 31, 2015 (-10.3%).
- The figure for the quarter ended Dec 31, 2019 represents the lowest quarterly Pension in data going back to the quarter ended Dec 31, 2012.
- Year-over-year, Pension has declined for three consecutive quarters, with an average decline of 13.5% over the last eight quarters.
- The fastest year-over-year change in Pension over five years came in the quarter ended Jun 30, 2015 (growth of 47.4%), and the weakest in the quarter ended Dec 31, 2019 (a decline of 74.2%).
- Business Quant data shows EVGN's Pension at $28,000 (quarter ended Sep 30, 2019), $27,000 (quarter ended Jun 30, 2019) and $32,000 (quarter ended Mar 31, 2019) in the three quarters before the quarter ended Dec 31, 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn |
| 10 | Evogene | 3.49 Mn | 12.55 Mn | 141,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | 8,000.00 |
| Sep 30, 2019 | 28,000.00 |
| Jun 30, 2019 | 27,000.00 |
| Mar 31, 2019 | 32,000.00 |
| Dec 31, 2018 | 31,000.00 |
| Sep 30, 2018 | 32,000.00 |
| Jun 30, 2018 | 32,000.00 |
| Mar 31, 2018 | 32,000.00 |
| Dec 31, 2017 | 33,000.00 |
| Sep 30, 2017 | 32,000.00 |
| Jun 30, 2017 | 32,000.00 |
| Mar 31, 2017 | 32,000.00 |
| Dec 31, 2016 | 31,000.00 |
| Sep 30, 2016 | 30,000.00 |
| Jun 30, 2016 | 30,000.00 |
| Mar 31, 2016 | 26,000.00 |
| Dec 31, 2015 | 26,000.00 |
| Sep 30, 2015 | 31,000.00 |
| Jun 30, 2015 | 28,000.00 |
| Mar 31, 2015 | 27,000.00 |
API Access
Evogene Pension 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=pension&ticker=EVGN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "pension", "ticker": "EVGN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=pension&ticker=EVGN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();