What was the change in Prepaid expenses and other current assets due to the adoption of ASU 2014-09?
{"Assets -- Contract assets (1)": {"As reported": 911940, "Balance without the adoption of ASU 2014-09": "$\u2014"}, "Assets -- Inventories, net (1)": {"As reported": 3023003, "Balance without the adoption of ASU 2014-09": 3761591}, "Assets -- Prepaid expenses and other current assets(1)(2)": {"As reported": 501573, "Balance without the adoption of ASU 2014-09": 514769}, "Assets -- Deferred income taxes(1)": {"As reported": 198827, "Balance without the adoption of ASU 2014-09": 202791}, "Liabilities -- Contract liabilities(2)(3)": {"As reported": 511329, "Balance without the adoption of ASU 2014-09": "$\u2014"}, "Liabilities -- Deferred income(2)(3)(4)": {"As reported": "$\u2014", "Balance without the adoption of ASU 2014-09": 521035}, "Liabilities -- Other accrued expenses(3)(4)": {"As reported": 1877908, "Balance without the adoption of ASU 2014-09": 1868201}, "Liabilities -- Deferred income taxes(1)": {"As reported": 115818, "Balance without the adoption of ASU 2014-09": 111304}, "Equity -- Retained earnings(1)(2)": {"As reported": 2037037, "Balance without the adoption of ASU 2014-09": 1885360}}
prepaid_expenses = df["Assets -- Prepaid expenses and other current assets(1)(2)"]["As reported"]
other_assets = df["Assets -- Prepaid expenses and other current assets(1)(2)"]["Balance without the adoption of ASU 2014-09"]
answer = prepaid_expenses - other_assets