
Starship Troopers
4.5 stars from 20,499 reviews. One of the highest rated Science Fiction books we track.
Last checked: Jun 21, 2026
Good deal — this title is discounted today.
Price range: $1.99 – $14.99
0 readers are tracking this book's price
Fans of these authors will like this...
- Joe Haldeman
- John Scalzi
- Orson Scott Card
Fans of these books will like this...
- The Forever War
- Ender's Game
- Old Man's War
Perfect for you if...
- You love military sci-fi that takes the grunt's perspective seriously, not the commander's office view.
- You're drawn to stories where the real test is whether you survive your own side's training.
- You appreciate Heinlein's unflinching look at what it costs to build soldiers, even when you disagree with his politics.
Maybe not for you if...
- You want a quick action romp without the philosophy lectures embedded in the narrative.
- You're looking for a feel-good underdog story where the hero pulls through with heart and luck.
- You prefer character development over exploring systemic ideas about society and warfare.
About this book
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Price History
Kindle price over time. Green zones = periods when the book was free.
Currently on sale at $1.99 — 87% off peak. Price has dropped 18 times over the last 6 years. Goes on sale roughly every 124 days. Typically stays discounted for 105 days.
Sales Rank
Amazon sales rank: lower number = better selling book. #1 is the bestseller.
Currently around #26K in the Kindle store — a steady mid-list seller.
Rating & Reviews
Purple line = star rating over time. Blue area = total review count growth.
Currently 4.5★ from 20,499 reviews
Gaining approximately 103 new reviews per month. Reader interest is accelerating. Rating has remained stable at 4.5 over the tracking period.
Sale Prediction
Actual Predicted
This book is currently discounted at $1.99. It typically returns to around $14.99.
Prices shown in USD from Amazon US. We continuously pull new data to improve tracking. If dates look old, it usually means there has been no significant change since the last data point.
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by Jakes, John

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