**Short answer:** There is a time dimension, but it is only five monthly snapshots (January–May 2022). On deal counts the pattern is mildly shrinking, and on dollar value it is erratic. Five points can't show seasonality. **Deal volume (step-0 result)** - Announced rounds fell from 115 in January to 96 in February, 98 in March, 95 in April and 42 in May. - From January to April this is a step down and then a plateau of about 95–98 rounds a month. - May's drop to 42 is probably not a real collapse. The card flags May as a partial or misaligned table with some blank rows, and only 21 of its 42 rows had a parseable amount. I would treat May as incomplete. **Funding value (step-0 result)** - Total disclosed funding fell from about $4.10B in January to $3.49B in February and $2.85B in March. That is a gradual decline. - April jumps to about $45.3B, roughly 11 times January's total. I don't trust that figure as a real trend: - It comes from a handful of mega-rounds, such as $5B, $2.5B, $1.7B and $1.2B (×3) in the step-1 amount values. - The April `Amount` text is also inconsistent. It mixes formats like `$11.700,000`, `$624.800,000`, `$221.5` and `$23`, and it contains "Undisclosed" and blank values (step-1 result), so my parsed totals may be distorted. - May's total is about $0.31B, but it covers only the partial table. - The median round size rose from $5.45M in January to $6M in February, $11M in March and $30M in April, then fell back to $5.5M in May. That suggests larger deals through April, though the April median is also exposed to the parsing problem. - Undisclosed amounts rose from 6 in January to 7 in February, 12 in March and 10 in April (step-4 result), so more rounds lack a usable value in later months. **Conclusion:** Deal counts are flat to slightly shrinking (115 → ~95) from January to April, and dollar totals are dominated by a few giant April rounds and messy amount formatting. May looks like a data-coverage artifact, not a real decline. Each month's table is a separate monthly export of announced rounds, so a longer series would be needed before calling any trend or seasonality.