What $1,000 invested ten years ago would be worth today
Everyone has replayed this daydream: what if I had put a thousand dollars into that thing, back then? Here is the answer for six assets, straight from closing prices — including the part the screenshots always crop out.
Published July 28, 2026 · updates automatically with our data
$1,000 in 2016, today
Using end-of-year closing prices for 2016 and today's price (2026-07-28):
- NVIDIA — $73,599 (×73.6)
- Bitcoin — $65,785 (×65.8)
- Tesla — $21,700 (×21.7)
- Apple — $11,638 (×11.6)
- Gold — $3,521 (×3.5)
- S&P 500 — $3,311 (×3.3)
The first surprise: the best performer of the decade wasn't Bitcoin. A chip company most people couldn't name in 2016 quietly beat it.
The part the screenshots crop out
Those numbers describe a decade — not the ride. In a single year, 2022, the same winners did this: Bitcoin -64%, Tesla -65%, NVIDIA -50%. Anyone holding at the start of 2022 watched more than half their money evaporate before any of the gains above existed.
And it isn't only history. Since the end of 2025, Bitcoin is -28% and Tesla -31%. Today's snapshot is itself a moment in someone's drawdown.
Why the daydream is unfair to your past self
This list has a fatal flaw: it was picked today, knowing the answers. In 2016, these same six sat in a crowd of thousands of tickers, next to companies that no longer exist and coins that went to zero. The version of you in 2016 had no way to tell them apart — that information simply did not exist yet.
That is what makes past returns a story, not a forecast. The steady line at the bottom of the list — the S&P 500 at ×3.3 — is the only one that didn't require picking the right needle in the haystack.
Run your own numbers
Pick any asset, amount and year and see the whole path, drops included: the what-if-I-invested tool shows losses as plainly as gains — because a chart that only goes up is a sales pitch, not data.
MoneyCurio is an educational project. Nothing here is financial or investment advice; figures are approximations built from public data — see the methodology page for sources.