diff --git a/erpnext/accounts/report/cash_flow/cash_flow.py b/erpnext/accounts/report/cash_flow/cash_flow.py
index 73b5c4b..24c5cd2 100644
--- a/erpnext/accounts/report/cash_flow/cash_flow.py
+++ b/erpnext/accounts/report/cash_flow/cash_flow.py
@@ -6,6 +6,7 @@
 from frappe import _
 from erpnext.accounts.report.financial_statements import (get_period_list, get_columns, get_data)
 from erpnext.accounts.report.profit_and_loss_statement.profit_and_loss_statement import get_net_profit_loss
+from erpnext.accounts.utils import get_fiscal_year
 
 
 def execute(filters=None):
@@ -49,9 +50,9 @@
 
 	# compute net profit / loss
 	income = get_data(filters.company, "Income", "Credit", period_list, 
-		accumulated_values=filters.accumulated_values, ignore_closing_entries=True)
+		accumulated_values=filters.accumulated_values, ignore_closing_entries=True, ignore_accumulated_values_for_fy= True)
 	expense = get_data(filters.company, "Expense", "Debit", period_list, 
-		accumulated_values=filters.accumulated_values, ignore_closing_entries=True)
+		accumulated_values=filters.accumulated_values, ignore_closing_entries=True, ignore_accumulated_values_for_fy= True)
 		
 	net_profit_loss = get_net_profit_loss(income, expense, period_list, filters.company)
 
@@ -98,33 +99,39 @@
 
 	return columns, data
 
-
 def get_account_type_based_data(company, account_type, period_list, accumulated_values):
 	data = {}
 	total = 0
 	for period in period_list:
+		start_date = get_start_date(period, accumulated_values)
 		gl_sum = frappe.db.sql_list("""
 			select sum(credit) - sum(debit)
 			from `tabGL Entry`
 			where company=%s and posting_date >= %s and posting_date <= %s 
 				and voucher_type != 'Period Closing Voucher'
 				and account in ( SELECT name FROM tabAccount WHERE account_type = %s)
-		""", (company, period["year_start_date"] if accumulated_values else period['from_date'], 
+		""", (company, start_date if accumulated_values else period['from_date'],
 			period['to_date'], account_type))
-		
+
 		if gl_sum and gl_sum[0]:
 			amount = gl_sum[0]
 			if account_type == "Depreciation":
 				amount *= -1
 		else:
 			amount = 0
-			
+
 		total += amount
 		data.setdefault(period["key"], amount)
-		
+
 	data["total"] = total
 	return data
 
+def get_start_date(period, accumulated_values):
+	start_date = period["year_start_date"]
+	if accumulated_values:
+		start_date = get_fiscal_year(period.to_date)[1]
+
+	return start_date
 
 def add_total_row_account(out, data, label, period_list, currency):
 	total_row = {
diff --git a/erpnext/accounts/report/financial_statements.py b/erpnext/accounts/report/financial_statements.py
index fb82213..f6968a1 100644
--- a/erpnext/accounts/report/financial_statements.py
+++ b/erpnext/accounts/report/financial_statements.py
@@ -16,13 +16,13 @@
 	to_fy_start_end_date = frappe.db.get_value("Fiscal Year", to_fiscal_year, ["year_start_date", "year_end_date"])
 
 	if not from_fy_start_end_date:
-		frappe.throw(_("Fiscal Year {0} not found.").format(from_fiscal_year))
+		frappe.throw(_("Start Year {0} not found.").format(from_fiscal_year))
 	
 	if not to_fy_start_end_date:
-		frappe.throw(_("Fiscal Year {0} not found.").format(to_fiscal_year))
+		frappe.throw(_("End Year {0} not found.").format(to_fiscal_year))
 
 	# start with first day, so as to avoid year to_dates like 2-April if ever they occur]
-	year_start_date = get_first_day(getdate(from_fy_start_end_date[0]))
+	year_start_date = getdate(from_fy_start_end_date[0])
 	year_end_date = getdate(to_fy_start_end_date[1])
 
 	validate_fiscal_year(year_start_date, year_end_date)
diff --git a/erpnext/accounts/report/profit_and_loss_statement/profit_and_loss_statement.py b/erpnext/accounts/report/profit_and_loss_statement/profit_and_loss_statement.py
index e15336b..3629d4d 100644
--- a/erpnext/accounts/report/profit_and_loss_statement/profit_and_loss_statement.py
+++ b/erpnext/accounts/report/profit_and_loss_statement/profit_and_loss_statement.py
@@ -54,7 +54,7 @@
 			return net_profit_loss
 
 def get_chart_data(filters, columns, income, expense, net_profit_loss):
-	x_intervals = ['x'] + [d.get("label") for d in columns[2:-1]]
+	x_intervals = ['x'] + [d.get("label") for d in columns[2:]]
 	
 	income_data, expense_data, net_profit = [], [], []