Price stats
- All-time low · all stores
- USD 2.49 Sep 2026+904%
- Lowest in 52 days
- USD 2.49
- Highest in 52 days
- USD 24.99
The all-time low is CheapShark's, across every store it tracks. Our own record starts 29 Aug 2026.
Price history USD 2.49 – USD 24.99
Does Parkasaurus go on sale?
Yes. Since we started watching on 29 Aug 2026, Parkasaurus has been on sale twice, the deepest at -90% (USD 2.49, 8 Sep – 22 Sep 2026). In the Autumn Sale (1 Oct – 8 Oct 2026) it was USD 8.74 (-65%). Its lowest price ever, in any store, is USD 2.49 (Sep 2026), by CheapShark's records.
Next possible discount: 7 Nov 2026 at the earliest. Steam allows no discount within 30 days of another. Steam's rules let it join the Winter Sale (17 Dec).
| 1 Oct – 8 Oct 2026 | -65% | USD 8.74 |
|---|---|---|
| 8 Sep – 22 Sep 2026 | -90% | USD 2.49 |
Every price change DropWatch has recorded from Steam since 29 Aug 2026, in USD. The earliest dates follow Steam's discount rules and the US prices we see; a publisher may not discount at all.
Players over time peak 343 · low 20
The highest concurrent player count we sampled each day.
Review sentiment trend · now 80% positive
Share of each month's Steam reviews that were positive.
Also available elsewhere USD, via CheapShark
Regional prices on Steam
| United States | USD 24.99 |
|---|---|
| Australia | AUD 34.97 |
| Brazil | BRL 73.97 |
| Canada | CAD 29.97 |
| Germany (euro) | EUR 20.97 |
| United Kingdom | GBP 20.97 |
| India | INR 1100.00 |
| Malaysia | MYR 61.00 |
| Philippines | PHP 765.00 |
| Singapore | SGD 22.00 |
Today's price in each region we collect. Steam sets these per region rather than by exchange rate.
Parkasaurus is a dinosaur tycoon management simulation where you take care of your dinosaurs by constructing well-designed exhibits, researching specialized technologies, and maximizing profits to expand into the ultimate dinosaur theme park. Do you favor development for guests or your dinosaurs?
- Developer
- Washbear Studio
- Released
- 13 Aug 2020
- Platforms
- Windows
- Genres
- Simulation, Strategy
