Bringing the fundamentals into focus…
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How Open Text Corporation stacks up
OTEX · against 305 other Technology companies of similar size
Valuation
97/ 100
Near the top of its peers.
Ranked #4 of 306 · scores higher than 99% of peers
Bars: peers in each 10-point band of the valuation score18 peers with a valuation score of 90–100, including OTEX · Click a bar to see the companies
Why valuation scores 97?
Weighted metrics compared with all Technology companies.Mainly thanks to its earnings yield, free cash flow yield and EBITDA yield, which are stronger than most Technology peers.
- more operating profit (EBITDA) for the company's total value: stronger than 92% of peers. EBITDA yield: 14.7% vs peer median 4.2%
- more free cash flow for the price paid: stronger than 94% of peers. Free cash flow yield: 12.9% vs peer median 2.7%
- higher earnings for the price paid: stronger than 95% of peers. Earnings yield: 10.0% vs peer median 2.2%
Metric by metric
Position: dot = OTEX, ranked from the worst peer (left) to the best (right); tick = middle, shaded = middle half of peers.| Metric | OTEX | Peer median | Better than | Position among peers | Weight |
|---|---|---|---|---|---|
| Earnings yieldHigher is better · 302 reported | 10.0% | 2.5% | 98% | 30% | |
| EBITDA yieldHigher is better · 309 reported | 14.7% | 4.2% | 96% | 50% | |
| Free cash flow yieldHigher is better · 152 reported | 12.9% | 2.9% | 97% | 20% | |
| Book yieldHigher is better · 303 reported | 65.6% | 23.8% | 89% | Context only |
Ranking by valuation score
Top 5 and the companies ranked around OTEX| Rank | Company | Market cap | Valuation | Overall |
|---|---|---|---|---|
| 1 | 27.5B HKD (≈$3.5B) | 98 | 81 | |
| 1 | 117.8B TWD (≈$3.7B) | 98 | 94 | |
| 1 | 40.9B CNY (≈$5.7B) | 98 | 73 | |
| 4 | 31.1B HKD (≈$4.0B) | 97 | 59 | |
| 4 | 6.3B USD | 97 | 55 | |
| 6 | 46.1B HKD (≈$5.9B) | 94 | 59 | |
| 6 |
Scores are sector-relative percentiles from the latest snapshot, always calculated against the whole sector: narrowing the comparison group changes who you compare with, not the scores. Missing metrics are left out and the remaining weights rescaled. How we score