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Near Intelligence (Near Intelligence) Piotroski F-Score : N/A (As of May. 25, 2024)


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What is Near Intelligence Piotroski F-Score?

The zones of discrimination were as such:

Good or high score = 7, 8, 9
Bad or low score = 0, 1, 2, 3

Near Intelligence has an F-score of 2. It is a bad or low score, which usually implies poor business operation.

The historical rank and industry rank for Near Intelligence's Piotroski F-Score or its related term are showing as below:


Near Intelligence Piotroski F-Score Historical Data

The historical data trend for Near Intelligence's Piotroski F-Score 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.

* Premium members only.

Near Intelligence Piotroski F-Score Chart

Near Intelligence Annual Data
Trend Dec20 Dec21
Piotroski F-Score
N/A N/A

Near Intelligence Quarterly Data
Dec20 Jun21 Sep21 Dec21 Mar22 Jun22 Sep22 Mar23 Jun23
Piotroski F-Score Get a 7-Day Free Trial Premium Member Only N/A N/A N/A N/A N/A

Competitive Comparison of Near Intelligence's Piotroski F-Score

For the Software - Application subindustry, Near Intelligence's Piotroski F-Score, along with its competitors' market caps and Piotroski F-Score 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.


Near Intelligence's Piotroski F-Score Distribution in the Software Industry

For the Software industry and Technology sector, Near Intelligence's Piotroski F-Score distribution charts can be found below:

* The bar in red indicates where Near Intelligence's Piotroski F-Score falls into.


How is the Piotroski F-Score calculated?

* 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.

This Year (Jun23) TTM:Last Year (Mar22) TTM:
Net Income was -70.428 + -9.217 + -19.158 + -17.742 = $-116.55 Mil.
Cash Flow from Operations was -7.158 + -5.432 + -9.233 + -16.049 = $-37.87 Mil.
Revenue was 14.839 + 15.567 + 15.508 + 17.709 = $63.62 Mil.
Gross Profit was 9.724 + 10.871 + 10.364 + 12.073 = $43.03 Mil.
Average Total Assets from the begining of this year (Mar22)
to the end of this year (Jun23) was
(0 + 126.25 + 122.269 + 166.815 + 161.69) / 5 = $144.256 Mil.
Total Assets at the begining of this year (Mar22) was $0.00 Mil.
Long-Term Debt & Capital Lease Obligation was $3.52 Mil.
Total Current Assets was $83.06 Mil.
Total Current Liabilities was $149.71 Mil.
Net Income was -3.657 + -5.318 + -9.58 + -3.808 = $-22.36 Mil.

Revenue was 13.101 + 14.371 + 14.583 + 14.059 = $56.11 Mil.
Gross Profit was 9.429 + 10.597 + 10.274 + 9.78 = $40.08 Mil.
Average Total Assets from the begining of last year (Dec20)
to the end of last year (Mar22) was
(58.728 + 0 + 0 + 117.774 + 0) / 5 = $88.251 Mil.
Total Assets at the begining of last year (Dec20) was $58.73 Mil.
Long-Term Debt & Capital Lease Obligation was $0.00 Mil.
Total Current Assets was $0.00 Mil.
Total Current Liabilities was $0.00 Mil.

*Note: If the latest quarterly/semi-annual/annual total assets data is 0, then we will use previous quarterly/semi-annual/annual data for all the items in the balance sheet.

Profitability

Question 1. Return on Assets (ROA)

Net income before extraordinary items for the year divided by Total Assets at the beginning of the year.

Score 1 if positive, 0 if negative.

Near Intelligence's current Net Income (TTM) was -116.55. ==> Negative ==> Score 0.

Question 2. Cash Flow Return on Assets (CFROA)

Net cash flow from operating activities (operating cash flow) divided by Total Assets at the beginning of the year.

Score 1 if positive, 0 if negative.

Near Intelligence's current Cash Flow from Operations (TTM) was -37.87. ==> Negative ==> Score 0.

Question 3. Change in Return on Assets

Compare this year's return on assets (1) to last year's return on assets.

Score 1 if it's higher, 0 if it's lower.

ROA (This Year)=Net Income/Total Assets (Mar22)
=-116.545/0
=

ROA (Last Year)=Net Income/Total Assets (Dec20)
=-22.363/58.728
=-0.3807894

Near Intelligence's return on assets of this year was . Near Intelligence's return on assets of last year was -0.3807894. ==> Last year is higher ==> Score 0.

Question 4. Quality of Earnings (Accrual)

Compare Cash flow return on assets (2) to return on assets (1)

Score 1 if CFROA > ROA, 0 if CFROA <= ROA.

Near Intelligence's current Net Income (TTM) was -116.55. Near Intelligence's current Cash Flow from Operations (TTM) was -37.87. ==> -37.87 > -116.55 ==> CFROA > ROA ==> Score 1.

Funding

Question 5. Change in Gearing or Leverage

Compare this year's gearing (long-term debt divided by average total assets) to last year's gearing.

Score 0 if this year's gearing is higher, 1 otherwise.

Gearing (This Year: Jun23)=Long-Term Debt & Capital Lease Obligation/Average Total Assets from Mar22 to Jun23
=3.52/144.256
=0.02440106

Gearing (Last Year: Mar22)=Long-Term Debt & Capital Lease Obligation/Average Total Assets from Dec20 to Mar22
=0/88.251
=0

Near Intelligence's gearing of this year was 0.02440106. Near Intelligence's gearing of last year was 0. ==> Last year is lower than this year ==> Score 0.

Question 6. Change in Working Capital (Liquidity)

Compare this year's current ratio (current assets divided by current liabilities) to last year's current ratio.

Score 1 if this year's current ratio is higher, 0 if it's lower

Current Ratio (This Year: Jun23)=Total Current Assets/Total Current Liabilities
=83.055/149.706
=0.55478738

Current Ratio (Last Year: Mar22)=Total Current Assets/Total Current Liabilities
=0/0
=

Near Intelligence's current ratio of this year was 0.55478738. Near Intelligence's current ratio of last year was . ==> This year's current ratio is higher. ==> Score 1.

Question 7. Change in Shares in Issue

Compare the number of shares in issue this year, to the number in issue last year.

Score 0 if there is larger number of shares in issue this year, 1 otherwise.

Near Intelligence's number of shares in issue this year was 48.821. Near Intelligence's number of shares in issue last year was 46.383. ==> There is larger number of shares in issue this year. ==> Score 0.

Efficiency

Question 8. Change in Gross Margin

Compare this year's gross margin (Gross Profit divided by sales) to last year's.

Score 1 if this year's gross margin is higher, 0 if it's lower.

Gross Margin (This Year: TTM)=Gross Profit/Revenue
=43.032/63.623
=0.67635918

Gross Margin (Last Year: TTM)=Gross Profit/Revenue
=40.08/56.114
=0.71426026

Near Intelligence's gross margin of this year was 0.67635918. Near Intelligence's gross margin of last year was 0.71426026. ==> Last year's gross margin is higher ==> Score 0.

Question 9. Change in asset turnover

Compare this year's asset turnover (total sales for the year divided by total assets at the beginning of the year) to last year's asset turnover ratio.

Score 1 if this year's asset turnover ratio is higher, 0 if it's lower

Asset Turnover (This Year)=Revenue/Total Assets at the Beginning of This Year (Mar22)
=63.623/0
=

Asset Turnover (Last Year)=Revenue/Total Assets at the Beginning of Last Year (Dec20)
=56.114/58.728
=0.95548972

Near Intelligence's asset turnover of this year was . Near Intelligence's asset turnover of last year was 0.95548972. ==> Last year's asset turnover is higher ==> Score 0.

Evaluation

Piotroski F-Score= Que. 1+ Que. 2+ Que. 3+Que. 4+Que. 5+Que. 6+Que. 7+Que. 8+Que. 9
=0+0+0+1+0+1+0+0+0
=2

Good or high score = 7, 8, 9
Bad or low score = 0, 1, 2, 3

Near Intelligence has an F-score of 2. It is a bad or low score, which usually implies poor business operation.

Near Intelligence  (OTCPK:NIRLQ) Piotroski F-Score Explanation

The developer of the system is Joseph D. Piotroski is relatively unknown accounting professor who shuns publicity and rarely gives interviews.

He graduated from the University of Illinois with a B.S. in accounting in 1989, received an M.B.A. from Indiana University in 1994. Five years later, in 1999, after earning a Ph.D. in accounting from the University of Michigan, he became an associate professor of accounting at the University of Chicago.

In 2000, he wrote a research paper called "Value Investing: The Use of Historical Financial Statement Information to Separate Winners from Losers" (pdf).

He wanted to see if he can develop a system (using a simple nine-point scoring system) that can increase the returns of a strategy of investing in low price to book (referred to in the paper as high book to market) value companies.

What he found was something that exceeded his most optimistic expectations.

Buying only those companies that scored highest (8 or 9) on his nine-point scale, or F-Score as he called it, over the 20 year period from 1976 to 1996 led to an average out-performance over the market of 13.4%.

Even more impressive were the results of a strategy of investing in the highest F-Score companies (8 or 9) and shorting companies with the lowest F-Score (0 or 1).

Over the same period from 1976 to 1996 (20 years) this strategy led to an average yearly return of 23%, substantially outperforming the average S&P 500 index return of 15.83% over the same period.


Near Intelligence Piotroski F-Score Related Terms

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Near Intelligence (Near Intelligence) Business Description

Traded in Other Exchanges
N/A
Address
100 W Walnut Street, 4th Floor, Pasadena, CA, USA
Near Intelligence Inc is a global, full stack data intelligence software as a service platform that stitches and enriches data on people and places from which its customers can derive actionable intelligence of consumer behavior to help its customers make meaningful decisions.
Executives
Richard J Salute director P O BOX 306, WOODBURY NY 11797
Sherman Iii Edmiston director ONE CITYPLACE DRIVE, SUITE 300, ONE CITYPLACE DRIVE, SUITE 300, ST. LOUIS MO 63141
Kathryn Petralia director TRICOLOR HOLDINGS, INC., 6021 CONNECTION DRIVE, 4TH FLOOR, IRVING TX 75039
Mark N Greene director 901 MARQUETTE AVENUE, SUITE 3200, MINNEAPOLIS MN 55402
Um Legacy Llc 10 percent owner 130 WEST UNION STREET, PASADENA CA 91103
Jpmorgan Chase & Co 10 percent owner 383 MADISON AVENUE, NEW YORK NY 10017
Cecil Capital Pte. Ltd. 10 percent owner 160 ROBINSON ROAD, #20-03, SINGAPORE U0 068914
Shobhit Shukla officer: President 1096 KEELER AVENUE, BERKELEY CA 94708
Gladys Kong officer: COO and Secretary 1096 KEELER AVENUE, BERKELEY CA 94708
Rahul Agarwal officer: Chief Financial Officer 1096 KEELER AVENUE, BERKELEY CA 94708
Anil Mathews director, officer: CEO and Chairman 1096 KEELER AVENUE, BERKELEY CA 94708
Jay Angelo officer: General Counsel 1096 KEELER AVENUE, BERKELEY CA 94708
Sequoia Capital India Iii Ltd. 10 percent owner 2800 SAND HILL RD, SUITE 101, MENLO PARK CA 94025
Ronald Steger director 13710 OASIS TERRACE, LAKEWOOD RANCH FL 34202
Blake Ross 10 percent owner 1887 WHITNEY MESA DRIVE, #2070, HENDERSON NV 89014

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