Actually it depends. How much do they contradict each other? It’s not that simple.
Suppose I have a hypothesis that your room temperature is 20,6783955 degrees C, I then give you two thermometers, and one measures your room temperature at 20,6782391 degrees C, and the other measures 20,6785441 degrees C.
Do they contradict each other? Yes. Do they “fit” my hypothesis? Well, not exactly. Have we falsified my hypothesis? Well, to what level of accuracy? Can we now believe that your room temperature is plausibly fifteen thousand degrees C, or minus 260?
I think we can say that there is a level of disagreement between both the thermometers, and my hypothesis, where we would start to have serious doubts about my hypothesis. But the level of disagreement between the individual measurements and my hypothesis doesn’t (yet) take us there.
Phylogenetic trees to the extent they aren’t identical, can be different from each other, in the sense that they can have incongruencies, which range from total, as in all branches are different, to one mismatching branch. And the relative degree of mismatch of some branches can also go from minor to large. There could be some doubt about whether we are most closely related to chimp or gorilla (say), or it could hypothetically be the case that the data implies we are most closely related to insects .
So it’s really not that simple. If you read the next section of the link I supplied, Prediction 1.3 consilience of independent phylogenies, the nature of the degree of corroboration of common descent is well explained, and compared to other scientific theories and their potential (dis)agreement with observation and measurement.
In science, independent measurements of theoretical values are never exact. When inferring any value (such as a physical constant like the charge of the electron, the mass of the proton, or the speed of light) some error always exists in the measurement, and all independent measurements are incongruent to some extent. Of course, the true value of something is never known for certain in science—all we have are measurements that we hope approximate the true value. Scientifically, then, the important relevant questions are “When comparing two measurements, how much of a discrepancy does it take to be a problem?” and “How close must the measurements be in order to give a strong confirmation?” Scientists answer these questions quantitatively with probability and statistics (Box 1978; Fisher 1990; Wadsworth 1997). To be scientifically rigorous we require statistical significance. Some measurements of a given value match with statistical significance (good), and some do not (bad), even though no measurements match exactly (reality).
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“Biologists seem to seek the ‘The One Tree’ and appear not to be satisfied by a range of options. However, there is no logical difficulty in having a range of trees. There are 34,459,425 possible [unrooted] trees for 11 taxa (Penny et al . 1982), and to reduce this to the order of 10-50 trees is analogous to an accuracy of measurement of approximately one part in 106.” (Penny and Hendy 1986, p. 414)