Escalon Medical (ESMC) Pension (2011 - 2019)
Escalon Medical (ESMC) recorded Pension of $690,094 in fiscal Q4 2019 (quarter ended Jun 30, 2019), down 7.9% from $749,480 a year earlier and down 4.7% from the prior quarter.
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Analysis
Escalon Medical (ESMC) Pension (2011 - 2019) Analysis & Trends
Starting with fiscal Q4 2011, Escalon Medical's Pension history includes 33 quarters.
- Annual Pension has declined for three straight fiscal years, with a five-year compound annual growth rate of -3.9% (FY2014 to FY2019).
- Across earlier fiscal years, Pension came in at $749,480 in FY2018 (-6.2%), $799,347 in FY2017 (-4.3%), $835,589 in FY2016 (+4.8%) and $797,431 in FY2015 (-5.3%).
- The fiscal Q4 2019 figure is the lowest quarterly Pension in data going back to fiscal Q4 2011.
- On a year-over-year basis, Pension has declined for 11 consecutive quarters, with an average decline of 5.7% over the last eight quarters.
- Peak year-over-year performance for Pension in the last five years was growth of 5.0% in fiscal Q3 2016, against a decline of 9.1% in fiscal Q1 2015 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $723,867 (Q3 2019), $730,313 (Q2 2019) and $743,120 (Q1 2019).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 252.86 Bn | 231.89 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 182.00 Bn | 152.43 Bn | 7.27 Bn |
| 3 | Danaher | 158.85 Bn | 142.66 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 153.44 Bn | 132.86 Bn | 1.96 Bn |
| 5 | Medtronic | 119.96 Bn | 85.21 Bn | 6.34 Bn |
| 6 | Stryker | 115.52 Bn | 101.64 Bn | 4.50 Bn |
| 7 | Boston Scientific | 66.96 Bn | 61.73 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 52.96 Bn | 50.10 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 50.40 Bn | 34.41 Bn | 1.35 Bn |
| 10 | Escalon Medical | 1.26 Mn | -3.58 Mn | 946,662.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2019 | 690,094.00 |
| Mar 31, 2019 | 723,867.00 |
| Dec 31, 2018 | 730,313.00 |
| Sep 30, 2018 | 743,120.00 |
| Jun 30, 2018 | 749,480.00 |
| Mar 31, 2018 | 768,391.00 |
| Dec 31, 2017 | 765,257.00 |
| Sep 30, 2017 | 780,857.00 |
| Jun 30, 2017 | 799,347.00 |
| Mar 31, 2017 | 808,003.00 |
| Dec 31, 2016 | 817,590.00 |
| Sep 30, 2016 | 823,617.00 |
| Jun 30, 2016 | 835,589.00 |
| Mar 31, 2016 | 847,454.00 |
| Dec 31, 2015 | 832,791.00 |
| Sep 30, 2015 | 812,546.00 |
| Jun 30, 2015 | 797,431.00 |
| Mar 31, 2015 | 806,927.00 |
| Dec 31, 2014 | 811,647.00 |
| Sep 30, 2014 | 820,984.00 |
API Access
Escalon Medical 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=ESMC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "pension", "ticker": "ESMC", "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=ESMC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();