GSPH (Geospatial) Cyclically Adjusted PS Ratio: (As of Jul. 17, 2026)

Author: Vera Yuan Vera Yuan
Vera Yuan
Vera Yuan
Director of Data and Quant Analytics at GuruFocus
Focused on building reliable datasets, financial models, and research tools for value-minded investors. Committed to turning complex data into practical guidance for value-investing and long-term wealth.
Reviewed by: Charlie Tian Charlie Tian
Charlie Tian
Charlie Tian
Founder & CEO of GuruFocus
Dr. Charlie Tian is the founder and CEO of GuruFocus.com, a leading global investment research platform established in 2004. With a Ph.D. in physics, Dr. Tian transitioned from science to finance, applying a data-driven, disciplined approach to value investing.

GSPH Geospatial Corp GSPH
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What is Geospatial Cyclically Adjusted PS Ratio?

Shiller PE for Stocks: The True Measure of Stock Valuation


Geospatial  (OTCPK:GSPH) Cyclically Adjusted PS Ratio Explanation

Compared with the regular PS Ratio, which works poorly for cyclical businesses, the Cyclically Adjusted PS Ratio smoothed out the fluctuations of revenue during business cycles. Therefore it is more accurate in reflecting the valuation of the company.

If a company has consistent business performance, the Cyclically Adjusted PS Ratio should give similar results to regular PS Ratio.


Geospatial Cyclically Adjusted PS Ratio Related Terms


Geospatial Cyclically Adjusted PS Ratio Historical Data

* Premium members only.

The historical data trend for Geospatial's Cyclically Adjusted PS Ratio can be seen below:

* For Operating Data section: All numbers are indicated by the unit behind each term and all currency related amount are in USD.
* For other sections: All numbers are in millions except for per share data, ratio, and percentage. All currency related amount are indicated in the company's associated stock exchange currency.

Geospatial Cyclically Adjusted PS Ratio Chart

Geospatial Annual Data
Trend Dec06 Dec07 Dec08 Dec09 Dec13 Dec14 Dec15 Dec16 Dec17 Dec18
Cyclically Adjusted PS Ratio
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Geospatial Quarterly Data
Dec14 Mar15 Jun15 Sep15 Dec15 Mar16 Jun16 Sep16 Dec16 Mar17 Jun17 Sep17 Dec17 Mar18 Jun18 Sep18 Dec18 Mar19 Jun19 Sep19
Cyclically Adjusted PS Ratio Get a 7-Day Free Trial Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only 0.00 0.00 0.00 0.00 0.00

GSPH vs ISGN, VRTC, NAHD: Cyclically Adjusted PS Ratio Comparison

For the Software - Application subindustry, Geospatial's Cyclically Adjusted PS Ratio, along with its competitors' market caps and Cyclically Adjusted PS Ratio data, can be viewed below:

* Competitive companies are chosen from companies within the same industry, with headquarter located in same country, with closest market capitalization; x-axis shows the market cap, and y-axis shows the term value; the bigger the dot, the larger the market cap. Note that "N/A" values will not show up in the chart.


Geospatial Cyclically Adjusted PS Ratio vs Software Industry

For the Software industry and Technology sector, Geospatial's Cyclically Adjusted PS Ratio distribution charts can be found below:

* The bar in red indicates where Geospatial's Cyclically Adjusted PS Ratio falls into.


GSPH
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Geospatial Corp GSPH
Cyclically Adjusted PS Ratio is just one metric. See GF Score™, valuation, warning signs, and more.
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Geospatial Cyclically Adjusted PS Ratio Calculation

Like the Shiller PE Ratio, the Cyclically Adjusted PS Ratio takes the Revenue per Share from the past 10 years, adjusts it for inflation, and then calculates the average. This average is then used for the P/S calculation. Because it considers this 10-year average, it's often referred to as the CAPS Ratio.

The Shiller PE Ratio was first used by professor Robert Shiller to measure the valuation of the overall market. The similar calculation is applied by GuruFocus to calculate the Cyclically Adjusted PS Ratio.

Geospatial's Cyclically Adjusted Revenue per Share for the quarter that ended in Sep. 2019 is calculated as:

For example, Geospatial's adjusted Revenue per Share data for the three months ended in Sep. 2019 was:

Adj_RevenuePerShare=Revenue per Share/CPI of Sep. 2019 (Change)*Current CPI (Sep. 2019)
=0/256.7590*256.7590
=0.000

Current CPI (Sep. 2019) = 256.7590.

Geospatial Quarterly Data

Revenue per Share CPI Adj_RevenuePerShare
200609 0.000 202.900 0.000
200612 0.000 201.800 0.000
200703 0.000 205.352 0.000
200706 0.002 208.352 0.002
200709 0.002 208.490 0.002
200712 0.000 210.036 0.000
200803 0.000 213.528 0.000
200806 0.015 218.815 0.018
200809 0.007 218.783 0.008
200812 0.004 210.228 0.005
200903 0.003 212.709 0.004
200906 0.008 215.693 0.010
200909 0.009 215.969 0.011
200912 0.011 215.949 0.013
201003 0.028 217.631 0.033
201006 0.029 217.965 0.034
201009 0.022 218.439 0.026
201312 0.000 233.049 0.000
201406 0.001 238.343 0.001
201409 0.000 238.031 0.000
201412 0.000 234.812 0.000
201503 0.000 236.119 0.000
201506 0.000 238.638 0.000
201509 0.000 237.945 0.000
201512 0.000 236.525 0.000
201603 0.001 238.132 0.001
201606 0.002 241.018 0.002
201609 0.001 241.428 0.001
201612 0.001 241.432 0.001
201703 0.000 243.801 0.000
201706 0.001 244.955 0.001
201709 0.001 246.819 0.001
201712 0.001 246.524 0.001
201803 0.001 249.554 0.001
201806 0.001 251.989 0.001
201809 0.001 252.439 0.001
201812 0.001 251.233 0.001
201903 0.000 254.202 0.000
201906 0.000 256.143 0.000
201909 0.000 256.759 0.000

Add all the adjusted revenue per share together and divide 10 will get our Cyclically Adjusted Revenue per Share.

Please note that we use the CPI data of the country/region where the company is headquartered. If the CPI data for that country/region is not available, then we will use the CPI data of the United States as default.


Geospatial Business Description

Address 13241 Woodland Park Road, Suite 610, Herndon, VA, USA, 20171
Geospatial Corp is a geospatial data solutions provider for multiple industries including Oil and Gas, Power, Telecom, Water/Wastewater, Agriculture, and all construction related to these industries. Using proven mapping system technologies, including drones, it successfully and accurately maps above and below-ground infrastructure assets providing customers with actionable intelligence through data automation. Its underground infrastructure mapping technologies provide accurate XYZ centerline coordinates and create three-dimensional maps easily integrated into Geographic Information Systems (GIS), Google Earth, and CAD databases.
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