Below is a crude oil price return calculator for the price return on crude oil between any dates since 1987. This isn't contract investment return - it doesn't factor in contango or backwardization, so investor returns will vary compared to price returns. However, you can see price changes in Brent and West Texas Intermediate (WTI) Crude Oil as a function of time with daily resolution, and inflation adjustment.
If you find this interesting, please also see our Treasury Return Calculator, S&P 500 Total Return Calculator, Gold Return Calculator and Daily Inflation Calculator.
The calculator takes its data for Brent and WTI crude daily prices from the St. Louis Fed's website. It updates every evening at 12:00 Eastern, so the data you access will generally be a day behind the current market's close.
WTI Crude Oil and Brent Crude Oil prices are from the St. Louis Fed. Those contracts generally trade Monday - Friday, and the tool will adjust your input dates if you select days with no data.
For the 'last' or 'ending' date, it will use the 'last valid' trading date, but likely won't adjust the date (you can check the result after a calculation).
The daily inflation methodology hasn't changed from the daily inflation calculator. Please see the methodology section there.
The de facto benchmark for crude oil prices used to be West Texas Intermediate. However, a number of oil fields in the North Sea source Brent Oil, and it took over contract pricing. Many other forms and qualities of oil and distillates are now based on the Brent contract price combined with some multiple.
I don't want to pick sides, however – this calculator computes returns for both. To see the decoupling of the major crude benchmarks, here's a graph of the two from 1986 through Summer 2019 (don't worry, the data in the tool is fully updated):

| Jan 3 Open | Dec 31 Close | Return | |
| S&P TR | 2158.93 | 2504.44 | 16.00% |
| S&P 500 | 1258.86 | 1426.19 | 13.29% |
Below is a S&P 500 return calculator with dividend reinvestment. It also has inflation data integrated, so it can estimate total investment returns before taxes. It shows the price return of the index along with the estimated effect of reinvested dividends.
For last year, see the 2025 S&P 500 return. Also see the 2024 S&P 500 return.
Pick a starting and ending month and the calculator updates in real time. Here's what it shows:
Click Show Chart to graph the growth of $10,000: the blue line reinvests dividends, the gray line is price only, so the gap between them is the dividend contribution piling up. Tick Log scale for a logarithmic vertical axis, which helps keep long, multi-decade windows readable.
Professor Shiller lists his methodology on his site - all values internal to this tool use the values he provided (outside of the most recent month).
The month's 'Price' isn't the price on a particular day, but an average of closing prices. It answers "what did the average investor who invested randomly during the beginning month and sold randomly during the ending month do?".
Let me say that again in a different way: other than the most recent month, which is tied to one closing price, the month DOES NOT correspond to an individual day. It's a guess at an average investor's price basis (or sale price) if they bought (or sold) "at some point" in the month.
Also, important (since it comes up often in the comments): because it isn't an individual date, that means when you're trying to compute yearly returns, you need to be careful to pick twelve months - so, if you were interested in the annual return of 2013, you would pick Jan-2013 to Jan-2014 or Dec-2012 or Dec-2013 to get roughly 12 months.
If you want exact dates, try our mutual fund return calculator or ETF return calculator.
To calculate the 'dividend reinvested' price index:
This will, of course, not match the results of an individual investor. It's extremely complicated to go back and calculate exact S&P 500 payout dates for each fund in each brokerage for one specific investor, and figure out what the index was trading at on that date.
We also present this data from the perspective of average return over various time periods.