That depends on your research questions, the audience you are talking to, and your analytical appraoch. But I would always go for reporting the quantitative analyses indicating/demonstrating saturation in qualitative reserach. For details see:

Article When I say … quantification in qualitative research

Article Using Numbers in Qualitative Research

Article Quantifying Thematic Saturation in Qualitative Data Analysis

Article A simple method to assess and report thematic saturation in ...

It depends on the type of analysis and data that you are presenting according to your research question. In my opinion, qualitative analysis doesn't require percentage of some data points. You may verbally discuss the behavior of data.

I think that if you present data stimulated by highly structured questions that are the same for all participants, percentages may provide an idea. For instance questions like "Do you find this intervention favorable?" may stimulate answers from all the participants involved and sometimes absence of an answer may matter. Reader can benefit from percentages at this point. But for a probe question which is not valid for many participants, percentages may not be very informative or may even be misleading. Depending on the nature of design and thus your questions you can decide whether or not to include percentages.

Some scholars are of the view that since it is qualitative, the use of quantification should not be allowed @Cinar Kaya

Not necessary, as this search is a matter of subjectivity.

Not necessarily. But you can do it if you want.

Generally with qualitative research, the audience are more interested in how you developed the themes and outputs instead of the statistics/percentage etc.

Reporting percentages is most appropriate when you are using a form of content analysis that allows for the systematic counting of codes. Otherwise, it is preferable to use quantitatively oriented terms such as "many" or "nearly all" or "seldom" etc.

I believe this is one of the reasons qualitative research uses very small sample size to enable you conduct indepth analysis. I would not recommend percentages for probe questions. As Çınar Kaya said, it could be misleading.

Some of the best qualitative analysis I have read are presented in thematic discussions.

@Olugbenga Omisile, you are on point. Thank you

As the analysis used by the qualitative method is categorical, the representation of the results can also be at the level of representations of meanings, through relationship diagrams or other tools that give meaning to the meaning obtained with the study.

Numbers has nothing to do with qualitative findings. We normally stick on the expressive opinion from the perceptions of the respondents.

Personally, I think if your choice of approach and design is qualitative it would be proper to present textual data instead of percentile values. This shows your rationale for choosing the qualitative stance in the first place.