Meta Data Past Earnings Performance
Past criteria checks 3/6
Meta Data's earnings have been declining at an average annual rate of -16.2%, while the Consumer Services industry saw earnings growing at 11.5% annually. Revenues have been declining at an average rate of 35% per year. Meta Data's return on equity is 219.7%, and it has net margins of 32.5%.
Key information
-16.2%
Earnings growth rate
-1.6%
EPS growth rate
| Consumer Services Industry Growth | 10.5% |
| Revenue growth rate | -35.0% |
| Return on equity | 219.7% |
| Net Margin | 32.5% |
| Last Earnings Update | 31 Aug 2023 |
Recent past performance updates
Recent updates
Revenue & Expenses Breakdown
How Meta Data makes and spends money. Based on latest reported earnings, on an LTM basis.
Earnings and Revenue History
| Date | Revenue | Earnings | G+A Expenses | R&D Expenses |
|---|---|---|---|---|
| 31 Aug 23 | 32 | 11 | 2 | 0 |
| 31 May 23 | 24 | 2 | -20 | 0 |
| 28 Feb 23 | 15 | -1 | -47 | 0 |
| 30 Nov 22 | 9 | -27 | -19 | 0 |
| 31 Aug 22 | 2 | -55 | 9 | 0 |
| 28 Feb 22 | 286 | -790 | 564 | 0 |
| 30 Nov 21 | 430 | -784 | 609 | 0 |
| 31 Aug 21 | 0 | -11 | 10 | 0 |
| 31 May 21 | 554 | -444 | 464 | 0 |
| 28 Feb 21 | 521 | -148 | 262 | 0 |
| 30 Nov 20 | 506 | -122 | 244 | 0 |
| 31 Aug 20 | 0 | -23 | 21 | 0 |
| 31 May 20 | 524 | -66 | 240 | 0 |
| 29 Feb 20 | 585 | 13 | 258 | 0 |
| 30 Nov 19 | 589 | 24 | 251 | 0 |
| 31 Aug 19 | 558 | 34 | 237 | 0 |
| 31 May 19 | 524 | -105 | 215 | 0 |
| 28 Feb 19 | 500 | -116 | 218 | 0 |
| 30 Nov 18 | 441 | 0 | 192 | 0 |
| 31 Aug 18 | 419 | -106 | 179 | 0 |
| 31 May 18 | 400 | 23 | 167 | 0 |
| 28 Feb 18 | 370 | 33 | 136 | 0 |
| 30 Nov 17 | 329 | -89 | 123 | 0 |
| 31 Aug 17 | 312 | 22 | 114 | 0 |
| 31 May 17 | 278 | 31 | 98 | 0 |
| 28 Feb 17 | 257 | 18 | 90 | 0 |
| 30 Nov 16 | 227 | 15 | 78 | 0 |
| 31 Aug 16 | 229 | 16 | 85 | 0 |
| 31 Aug 15 | 171 | 5 | 70 | 0 |
Quality Earnings: OSM has high quality earnings.
Growing Profit Margin: OSM became profitable in the past.
Free Cash Flow vs Earnings Analysis
Past Earnings Growth Analysis
Earnings Trend: OSM has become profitable over the past 5 years, growing earnings by -16.2% per year.
Accelerating Growth: OSM has become profitable in the last year, making the earnings growth rate difficult to compare to its 5-year average.
Earnings vs Industry: OSM has become profitable in the last year, making it difficult to compare its past year earnings growth to the Consumer Services industry (9.9%).
Return on Equity
High ROE: Whilst OSM's Return on Equity (219.73%) is outstanding, this metric is skewed due to their high level of debt.
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 | 2024/08/20 20:07 |
| End of Day Share Price | 2024/07/26 00:00 |
| Earnings | 2023/08/31 |
| Annual Earnings | 2023/08/31 |
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 |
| |
| Analyst Consensus Estimates | +3 years |
|
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| Market Prices | 30 years |
| |
| Ownership | 10 years |
| |
| Management | 10 years |
| |
| Key Developments | 10 years |
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* 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 here.
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 .
Analyst Sources
Meta Data Limited is covered by 3 analysts. 0 of those analysts submitted the estimates of revenue or earnings used as inputs to our report. Analysts submissions are updated throughout the day.
| Analyst | Institution |
|---|---|
| Tianli Wen | Blue Lotus Research Institute |
| Sheng Zhong | Morgan Stanley |
| Zhang Liu | Tianfeng Securities Brokerage Co., Ltd |