floats are usually good up to 6 significant digits. Your number is 676543.21 which has 8 significant digits. You will see errors past 6 digits, and those errors will easily propagate to more significant digits the more calculations you perform. If you value your sanity (or precision), use doubles. Floats can't even count past 10 million accurately.

Now, you have 2 significant digits, which suggests to me that there is a chance you want to represent currency - DO NOT . Use your own class that internally represents values using fixed-point arithmetic.

Now, as to Float.MAX_VAL which is 3.4028235E38, meaning 3.4028235*10^38 which is about 10^32 times larger than your value. Notice the 'E' in there? That's the exponent.

If you really care about precision, you should use BigDecimal

https://docs.oracle.com/javase/8/docs/api/java/math/BigDecimal.html

https://docs.oracle.com/en/java/javase/11/docs/api/java.base/java/math/BigDecimal.html

As others have mentioned, you'll probably want to use the BigDecimal class, if you want to have an exact representation of 11.4.

Now, a little explanation into why this is happening:

The float and double primitive types in Java are floating point numbers, where the number is stored as a binary representation of a fraction and a exponent.

More specifically, a double-precision floating point value such as the double type is a 64-bit value, where:

• 1 bit denotes the sign (positive or negative).
• 11 bits for the exponent.
• 52 bits for the significant digits (the fractional part as a binary).

These parts are combined to produce a double representation of a value.

(Source: Wikipedia: Double precision)

For a detailed description of how floating point values are handled in Java, see the Section 4.2.3: Floating-Point Types, Formats, and Values of the Java Language Specification.

The byte, char, int, long types are fixed-point numbers, which are exact representions of numbers. Unlike fixed point numbers, floating point numbers will some times (safe to assume "most of the time") not be able to return an exact representation of a number. This is the reason why you end up with 11.399999999999 as the result of 5.6 + 5.8.

When requiring a value that is exact, such as 1.5 or 150.1005, you'll want to use one of the fixed-point types, which will be able to represent the number exactly.

As has been mentioned several times already, Java has a BigDecimal class which will handle very large numbers and very small numbers.

From the Java API Reference for the BigDecimal class:

Immutable, arbitrary-precision signed decimal numbers. A BigDecimal consists of an arbitrary precision integer unscaled value and a 32-bit integer scale. If zero or positive, the scale is the number of digits to the right of the decimal point. If negative, the unscaled value of the number is multiplied by ten to the power of the negation of the scale. The value of the number represented by the BigDecimal is therefore (unscaledValue × 10^-scale).

There has been many questions on Stack Overflow relating to the matter of floating point numbers and its precision. Here is a list of related questions that may be of interest:

• Why do I see a double variable initialized to some value like 21.4 as 21.399999618530273?
• How to print really big numbers in C++
• How is floating point stored? When does it matter?
• Use float or decimal for accounting application dollar amount?

If you really want to get down to the nitty gritty details of floating point numbers, take a look at What Every Computer Scientist Should Know About Floating-Point Arithmetic.

You may also pass the float value, and use:

String.format("%.2f", floatValue);

Documentation