diff --git a/tap_quickbooks/quickbooks/reportstreams/GeneralLedgerReport.py b/tap_quickbooks/quickbooks/reportstreams/GeneralLedgerReport.py
index 8ebf921..34d72dd 100644
--- a/tap_quickbooks/quickbooks/reportstreams/GeneralLedgerReport.py
+++ b/tap_quickbooks/quickbooks/reportstreams/GeneralLedgerReport.py
@@ -142,6 +142,7 @@ def sync(self, catalog_entry):
         params = {
             "accounting_method": self.accounting_method,
             "columns": ",".join(cols),
+            "sort_by": "tx_date"
         }
 
         if full_sync or self.qb.gl_full_sync:
@@ -211,6 +212,67 @@ def sync(self, catalog_entry):
                             self.gl_weekly = False
                             self.gl_daily = True
                         elif self.gl_daily:
+                            batch_size = 10
+                            stitched_rows = []
+                            row_categories = []
+                            # Add tx_date to each batch to keep rows sorted
+                            column_batches = [["tx_date"] + cols[i:i+batch_size] for i in range(0, len(cols), batch_size)]
+                            batch_params_list = []
+                            for batch in column_batches:
+                                batch_params = params.copy()
+                                batch_params["columns"] = ",".join(batch)
+                                batch_params["start_date"] = start_date.strftime("%Y-%m-%d")
+                                batch_params["end_date"] = end_date.strftime("%Y-%m-%d")
+                                batch_params_list.append(batch_params)
+                            with concurrent.futures.ThreadPoolExecutor(max_workers=len(batch_params_list)) as executor:
+                                resp_batches = list(
+                                    executor.map(
+                                        lambda x: self.concurrent_get(report_entity="GeneralLedger", params=x),
+                                        batch_params_list
+                                    )
+                                )
+                            columns_from_metadata = ['Date']
+                            for i, resp_batch in enumerate(resp_batches):
+                                # remove tx_date and categories while appending to columns_from_metadata
+                                # tx_date will be added automatically as it's already a column that will be fetched in a batch
+                                # categories will be added in the end after all the columns are stitched together
+                                columns_from_metadata += self._get_column_metadata(resp_batch)[1:-1]
+
+                                row_group = resp_batch.get("Rows")
+                                row_array = row_group.get("Row")
+
+                                start_date = end_date
+                                if row_array is None:
+                                    continue
+
+                                output = []
+                                categories = []
+                                for row in row_array:
+                                    self._recursive_row_search(row, output, categories)
+
+                                for i, raw_row in enumerate(output):
+                                    # if the row was never inserted in stitched_rows, append it
+                                    if len(stitched_rows) <= i:
+                                        stitched_rows.append(raw_row[:-1])
+                                        # row_categories maintains a set of categories to avoid duplication
+                                        row_categories.append({*raw_row[-1]})
+                                    # if the row was already inserted, join new columns to the right
+                                    else:
+                                        stitched_rows[i] += raw_row[1:-1]
+                                        row_categories[i].update(raw_row[-1])
+
+                            if stitched_rows:
+                                # join categories to the right of the rows
+                                for i, row in enumerate(stitched_rows):
+                                    row += [list(row_categories[i])]
+
+                                # add the categories column at the end
+                                columns_from_metadata.append("Categories")
+
+                                # we are ready to yield the full rows now
+                                yield from self.clean_row(stitched_rows, columns_from_metadata)
+                            break
+                        else:
                             # If we already are at gl_daily we have to give up
                             raise Exception(r)