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Interma Trade Past Earnings Performance

Past criteria checks 0/6

Key information

-35.50%

Earnings growth rate

-35.50%

EPS growth rate

Luxury Industry Growth	27.75%
Revenue growth rate	-55.59%
Return on equity	n/a
Net Margin	n/a
Next Earnings Update	29 Nov 2022

Recent past performance updates

Recent updates

Revenue & Expenses Breakdown

How Interma Trade makes and spends money. Based on latest reported earnings, on an LTM basis.

Earnings and Revenue History

WSE:ITM Revenue, expenses and earnings (PLN Millions)
Date	Revenue	Earnings	G+A Expenses
30 Jun 22	0	-86	0
31 Mar 22	0	-83	0
31 Dec 21	0	-83	0
30 Sep 21	0	-88	0
30 Jun 21	0	-19	0
31 Mar 21	0	-93	0
31 Dec 20	20	-116	13
30 Sep 20	53	-159	27
30 Jun 20	75	-156	39
31 Mar 20	95	-80	51
31 Dec 19	94	-58	50
30 Sep 19	88	-46	47
30 Jun 19	84	-46	44
31 Mar 19	81	-48	41
31 Dec 18	78	-44	38
30 Sep 18	73	-14	36
30 Jun 18	71	-15	35
31 Mar 18	69	-12	34
31 Dec 17	89	-11	33
30 Sep 17	193	2	34
30 Jun 17	383	9	34
31 Mar 17	555	17	33
31 Dec 16	684	22	31
30 Sep 16	720	23	28
30 Jun 16	653	21	25
31 Mar 16	607	19	23
31 Dec 15	567	18	22

Quality Earnings: ITM is currently unprofitable.

Growing Profit Margin: ITM is currently unprofitable.

Free Cash Flow vs Earnings Analysis

Past Earnings Growth Analysis

Earnings Trend: ITM is unprofitable, and losses have increased over the past 5 years at a rate of 35.5% per year.

Accelerating Growth: Unable to compare ITM's earnings growth over the past year to its 5-year average as it is currently unprofitable

Earnings vs Industry: ITM is unprofitable, making it difficult to compare its past year earnings growth to the Luxury industry (11.4%).

Return on Equity

High ROE: ITM's liabilities exceed its assets, so it is difficult to calculate its Return on Equity.

Return on Assets

Return on Capital Employed

Discover strong past performing companies

Company Analysis and Financial Data Status

Data	Last Updated (UTC time)
Company Analysis	2022/11/28 19:36
End of Day Share Price	2022/10/03 00:00
Earnings	2022/06/30
Annual Earnings	2021/12/31

Data Sources

The data used in our company analysis is from S&P Global Market Intelligence LLC. The following data is used in our analysis model to generate this report. Data is normalised which can introduce a delay from the source being available.

Package	Data	Timeframe	Example US Source ^*
Company Financials	10 years	Income statement Cash flow statement Balance sheet	SEC Form 10-K SEC Form 10-Q
Analyst Consensus Estimates	+3 years	Forecast financials Analyst price targets	Analyst Research Reports Blue Matrix
Market Prices	30 years	Stock prices Dividends, Splits and Actions	ICE Market Data SEC Form S-1
Ownership	10 years	Top shareholders Insider trading	SEC Form 4 SEC Form 13D
Management	10 years	Leadership team Board of directors	SEC Form 10-K SEC Form DEF 14A
Key Developments	10 years	Company announcements	SEC Form 8-K

^* Example for US securities, for non-US equivalent regulatory forms and sources are used.

Unless specified all financial data is based on a yearly period but updated quarterly. This is known as Trailing Twelve Month (TTM) or Last Twelve Month (LTM) Data. Learn more.

Analysis Model and Snowflake

Details of the analysis model used to generate this report is available on our Github page, we also have guides on how to use our reports and tutorials on Youtube.

Learn about the world class team who designed and built the Simply Wall St analysis model.

Industry and Sector Metrics

Our industry and section metrics are calculated every 6 hours by Simply Wall St, details of our process are available on Github.

Analyst Sources

Interma Trade S.A. is covered by 0 analysts. of those analysts submitted the estimates of revenue or earnings used as inputs to our report. Analysts submissions are updated throughout the day.