Trouble with extracting tables with slightly misaligned vertical columns without rule lines using "text" strategy

[eugene8080]

I'm trying to extract the table from this pdf with pdfplumber
2025-Q2-FS_06302025_CF_Redacted.pdf

On the right most column, there are some ")" that occationally extend past the alignment of the rest of the numbers. I think the misalignment causes the ")" to be cut from the column. Similarly, there is a number "(20,191,164)" which is slightly longer than the rest and it also gets split. I have been playing around with the parameters but unable to grab the entire number. I understand i might be able to use "explicit" strategy instead, but I am doing a batch of files and the tables might not align so I want to stick with "text" strategy.
Here is the debug_tablefinder output:

Here is a table output which highlights the problematic cells:

Here is my code:
import pdfplumber
import pandas as pd
from IPython.display import display

pdf_path = r"../data/downloads/financial_reports/2025-Q2-FS_06302025_CF_Redacted.pdf"

with pdfplumber.open(pdf_path) as pdf:
page = pdf.pages[0]
settings = {
"vertical_strategy": "text",
"horizontal_strategy": "text",
"snap_tolerance": 3,
"snap_x_tolerance": 3,
"snap_y_tolerance": 3,
"join_tolerance": 3,
"join_x_tolerance": 3,
"join_y_tolerance": 3,
"edge_min_length": 3,
"min_words_vertical": 10,
"min_words_horizontal": 1,
"intersection_tolerance": 3,
"intersection_x_tolerance": 3,
"intersection_y_tolerance": 3,
"text_tolerance": 3,
"text_x_tolerance": 3,
"text_y_tolerance": 1,
}
tables = page.extract_tables(table_settings=settings)
if tables:
df = pd.DataFrame(tables[0][1:], columns=tables[0][0])
text = page.extract_text()
print(text)
print(df)
display(page.to_image(resolution=150).debug_tablefinder(table_settings=settings))