diff --git a/processing/post/addCumulative.py b/processing/post/addCumulative.py
new file mode 100755
index 000000000..67ceb9e39
--- /dev/null
+++ b/processing/post/addCumulative.py
@@ -0,0 +1,95 @@
+#!/usr/bin/env python
+# -*- coding: UTF-8 no BOM -*-
+
+import os,re,sys,string
+import numpy as np
+from optparse import OptionParser
+import damask
+
+scriptID   = string.replace('$Id$','\n','\\n')
+scriptName = os.path.splitext(scriptID.split()[1])[0]
+
+# --------------------------------------------------------------------
+#                                MAIN
+# --------------------------------------------------------------------
+
+parser = OptionParser(option_class=damask.extendableOption, usage='%prog options [file[s]]', description = """
+Add cumulative (sum of first to current row) values for given label(s).
+""", version = scriptID)
+
+parser.add_option('-l','--label',
+                  dest='label',
+                  action = 'extend', metavar = '<string LIST>',
+                  help = 'columns to cumulate')
+
+parser.set_defaults(label = [],
+                   )
+                    
+(options,filenames) = parser.parse_args()
+
+if len(options.label) == 0:
+  parser.error('no data column(s) specified.')
+
+# --- loop over input files -------------------------------------------------------------------------
+
+if filenames == []: filenames = [None]
+
+for name in filenames:
+  try:
+  table = damask.ASCIItable(name = name,
+                            buffered = False)
+  except: continue
+  table.croak('\033[1m'+scriptName+'\033[0m'+(': '+name if name else ''))
+
+# ------------------------------------------ read header ------------------------------------------  
+
+  table.head_read()
+
+# ------------------------------------------ sanity checks ----------------------------------------
+
+  errors  = []
+  remarks = []
+  columns = []
+  dims    = []
+  
+  for what in options.label:
+    dim = table.label_dimension(what)
+    if dim < 0: remarks.append('column {} not found...'.format(what))
+    else:
+      dims.append(dim)
+      columns.append(table.label_index(what))
+      table.labels_append('cum({})'.format(what) if dim == 1 else
+                         ['{}_cum({})'.format(i+1,what) for i in xrange(dim)]  )                    # extend ASCII header with new labels
+
+  if remarks != []: table.croak(remarks)
+  if errors  != []:
+    table.croak(errors)
+    table.close(dismiss = True)
+    continue
+
+# ------------------------------------------ assemble header ---------------------------------------  
+
+  table.info_append(scriptID + '\t' + ' '.join(sys.argv[1:]))
+  table.head_write()
+
+# ------------------------------------------ process data ------------------------------------------ 
+
+  table.data_readArray()
+
+  mask = []
+  for col,dim in zip(columns,dims): mask += range(col,col+dim)                                      # isolate data columns to cumulate
+
+  cumulated = np.zeros((len(table.data),len(mask)))                                                 # prepare output field
+  
+  for i,values in enumerate(table.data[:,mask]):
+    cumulated[i,:] = cumulated[max(0,i-1),:] + values                                               # cumulate values
+  
+  table.data = np.hstack((table.data,cumulated))
+
+# ------------------------------------------ output result -----------------------------------------
+
+  table.data_writeArray()
+
+# ------------------------------------------ output finalization -----------------------------------  
+
+  table.close()                                                                                     # close ASCII tables