Falcon 9 reusability trend data

For my accompanying blogs, see:

The data (MS Excel) > SoP Falcon Reuse Data Zapata as of 02-07-2026 launch.xlsx

Graph of the number of reuses of a Falcon 9 booster and the days between reuses of the same booster.Updated as of the Falcon launch of February 7, 2026. Credit: Edgar Zapata, zapatatalksnasa.com

What is this graph above saying?

SpaceX regularly turns boosters around to fly again in about 40 days. (Lower black dashed trendline.)

SpaceX’s booster reuse is plateauing at about 13 reuses per booster. This is a combination of new boosters coming online, pushing the trend line down with zero reuses, purposely expended boosters, and some boosters seeing much more reuse. (Upper black dashed line.)

Histogram of the number of reuses of boosters for the last 100 Falcon 9 launches.Updated as of the Falcon launches of February 7, 2026. Credit: Edgar Zapata, zapatatalksnasa.com

What is this graph above saying? The reuse of most Falcon 9 boosters is “less than” the high twenties. A few boosters have been reused slightly more.

Graphs comparing the number of times a Falcon 1st stage/booster is reused to the time it takes to fly again.

What are these graphs above saying? Curiously and counterintuitively, long-term data since the first reuse of a Falcon 9 1st stage/booster tends to a wider range of turnaround times as the booster is newer. (Would have expected the reverse, that more reuse equals more wear and tear and higher turnaround times, a wider spread of points at the top, and a shift leaning to the right.)

Hypothesis: This is due to familiarity/learning about a unique booster? A new booster is “less familiar” to the turnaround team? But this suggests a production variance that is not reflected in the high reliability of the system.

Possible explanation: In the last 100 launches, there is no apparent correlation between the number of reuses of a 1st stage/booster and its turnaround time, but the points do lean to the right, reflecting (1) a more mature operation, and (2) the hypothesis is close, that more reuse equals more wear and tear, so slightly longer turnaround times. This is shown in the graph below, which now includes a trendline.