diff --git a/src/libs/ht.js b/src/libs/ht.js
index 75d70d0..167a2b7 100644
--- a/src/libs/ht.js
+++ b/src/libs/ht.js
@@ -142,7 +142,7 @@ export const KPIObjects = [
   {
     key: 'guestgrouptype',
     value: 'guestgrouptype',
-    label: '成员关系',
+    label: '客群类别',
     data: [
       { key: '146001', value: '146001', label: '夫妻' },
       { key: '146002', value: '146002', label: '家庭' },
diff --git a/src/stores/SaleStore.js b/src/stores/SaleStore.js
index 0ed662f..338bc6a 100644
--- a/src/stores/SaleStore.js
+++ b/src/stores/SaleStore.js
@@ -3,7 +3,7 @@ import moment from 'moment';
 import * as config from '../config';
 import * as comm from '../utils/commons';
 import { NavLink } from 'react-router-dom';
-import { groupsMappedByCode } from './../libs/ht';
+import { groupsMappedByCode, dataFieldAlias } from './../libs/ht';
 
 // 销售数据
 class SaleStore {
@@ -125,7 +125,9 @@ class SaleStore {
     fetch(config.HT_HOST + url)
       .then((response) => response.json())
       .then((json) => {
-        if (!comm.empty(json.result2) && !comm.empty(date_moment.start_date_cp)) {
+        // if (!comm.empty(json.result2) && !comm.empty(date_moment.start_date_cp)) {
+        // eslint-disable-next-line no-constant-condition
+        if (false) {
         } else {
           if (this.active_tab_key === 'All') {
             result.columns = [
@@ -300,10 +302,12 @@ class SaleStore {
             ];
             result.dataSource = json.result1;
           } else {
+            const diffDateFlagYes = !comm.isEmpty(date_moment.start_date_cp);
             // if (this.active_tab_key == "Country")
+            const mergeDiffData = calcDiff({result1: json.result1, result2: json.result2});
             // 获取类型的项目，去掉重复，作为列名
             const type_name_arr = [];
-            json.result1.map((item) => {
+            mergeDiffData.map((item) => {
               type_name_arr[item.SubTypeSN] = { SubTypeSN: item.SubTypeSN, SubTypeName: item.SubTypeName };
               return item;
             });
@@ -311,14 +315,26 @@ class SaleStore {
             const type_data = [];
             const type_data_arr = [];
 
-            for (const item of json.result1) {
+            for (const item of mergeDiffData) {
               const op_sn = 'OP_' + item.OPI_SN; // 顾问的SN
-              const items = json.result1.filter((d) => String(d.OPI_SN) === String(item.OPI_SN)); // 筛选出有当前顾问的记录
+              const items = mergeDiffData.filter((d) => String(d.OPI_SN) === String(item.OPI_SN)); // 筛选出有当前顾问的记录
               const total_data_value = items.length ? items.reduce((a, b) => a + b.COLI_YJLY, 0) : ''; // 记录累加
+              const total_data_value_diff = items.length ? items.reduce((a, b) => a + b.COLI_YJLY2, 0) : ''; // 记录累加
               if (comm.empty(type_data[op_sn])) {
-                type_data[op_sn] = [{ key: item.OPI_SN }, { T_name: item.OPI_Name }, { T_total: total_data_value }];
+                type_data[op_sn] = [{ key: item.OPI_SN }, { T_name: item.OPI_Name }, { T_total: total_data_value }, { V_total: total_data_value_diff }];
               }
-              type_data[op_sn].push({ ['T_' + item.SubTypeSN]: item.COLI_YJLY });
+              const _diff = comm.objectMapper(comm.pick(item, ['COLI_YJLY_diff', 'COLI_YJLY_vs', 'COLI_YJLY2']), {
+                COLI_YJLY2: { key: `v_${item.SubTypeSN}` },
+                COLI_YJLY_diff: { key: `diff_${item.SubTypeSN}` },
+                COLI_YJLY_vs: { key: `vs_${item.SubTypeSN}` },
+              });
+              type_data[op_sn].push({
+                ['T_' + item.SubTypeSN]: diffDateFlagYes
+                  ? comm.show_vs_tag(_diff[`vs_${item.SubTypeSN}`]+'%', _diff[`diff_${item.SubTypeSN}`], item.COLI_YJLY, _diff[`v_${item.SubTypeSN}`])
+                  : item.COLI_YJLY,
+                ..._diff,
+                [`TV_${item.SubTypeSN}`]: item.COLI_YJLY,
+              });
             }
             Object.values(type_data).map((item) => {
               type_data_arr.push(
@@ -330,18 +346,41 @@ class SaleStore {
               );
               return item;
             });
+            const totalDiff = {
+              diffVal: type_data_arr.reduce((a, b) => a + b.V_total, 0),
+              val: type_data_arr.reduce((a, b) => a + b.T_total, 0),
+            };
+            totalDiff.diff = (totalDiff.val-totalDiff.diffVal);
+            totalDiff.vs = comm.fixTo2Decimals(((totalDiff.val-totalDiff.diffVal)/totalDiff.diffVal)*100)+'%';
             result.columns.push(
               { title: '顾问', children: [{ title: '', dataIndex: 'T_name', render: (text, record) => <NavLink to={`/sale_sub/${this.active_tab_key}`}>{text}</NavLink> }] },
-              { title: '合计', children: [{ title: type_data_arr.reduce((a, b) => a + b.T_total, 0), dataIndex: 'T_total' }], sorter: (a, b) => b.T_total - a.T_total }
+              {
+                title: '合计',
+                children: [
+                  {
+                    title: diffDateFlagYes
+                      ? comm.show_vs_tag(totalDiff.vs, totalDiff.diff, totalDiff.val, totalDiff.diffVal)
+                      : type_data_arr.reduce((a, b) => a + b.T_total, 0),
+                    dataIndex: 'T_total',
+                  },
+                ],
+                sorter: (a, b) => b.T_total - a.T_total,
+              }
             );
             Object.values(type_name_arr).map((item, index) => {
               const data_index = 'T_' + item.SubTypeSN;
               const items = type_data_arr.filter((d) => d[data_index]); // 筛选出有对应类型的记录
-              const total_data_value = items.length ? items.reduce((a, b) => a + b[data_index], 0) : ''; // 记录累加
+              const total_data_value = items.length ? items.reduce((a, b) => a + b[`TV_${item.SubTypeSN}`], 0) : ''; // 记录累加
+              const total_data_value_diff = items.length ? items.reduce((a, b) => a + b[`v_${item.SubTypeSN}`], 0) : 0; // 记录累加
+              const columnDiff = {
+                val: total_data_value_diff,
+                diff: total_data_value - total_data_value_diff,
+                vs: comm.fixTo2Decimals(((total_data_value-total_data_value_diff)/total_data_value_diff)*100)+'%',
+              };
               result.columns.push({
                 title: item.SubTypeName,
-                children: [{ title: total_data_value, dataIndex: data_index }],
-                sorter: (a, b) => b[data_index] - a[data_index],
+                children: [{ title: diffDateFlagYes ? comm.show_vs_tag(columnDiff.vs, columnDiff.diff, total_data_value, total_data_value_diff) : total_data_value, dataIndex: data_index }],
+                sorter: (a, b) => b[`TV_${item.SubTypeSN}`] - a[`TV_${item.SubTypeSN}`],
               });
               return item;
             });
@@ -377,7 +416,9 @@ class SaleStore {
     fetch(config.HT_HOST + url)
       .then((response) => response.json())
       .then((json) => {
-        if (!comm.empty(json.result2) && !comm.empty(date_moment.start_date_cp)) {
+        // if (!comm.empty(json.result2) && !comm.empty(date_moment.start_date_cp)) {
+        // eslint-disable-next-line no-constant-condition
+        if (false) {
         } else {
           result.columns = [
             {
@@ -439,4 +480,25 @@ class SaleStore {
   }
 }
 
+const calcDiff = ({ result1 , result2 }) => {
+  const initialDataWithAllKeys = comm.unique([].concat(result1 , result2).map((ele) => `${ele.OPI_SN}@${ele.SubTypeSN}`)).reduce((r, v) => {
+    const [OPI_SN, SubTypeSN] = String(v).split('@');
+    r.push({OPI_SN, SubTypeSN, COLI_YJLY: 0, key: `${OPI_SN}@${SubTypeSN}` });
+    return r;
+  }, []);
+  const initialMapped = initialDataWithAllKeys.reduce((r, v) => ({ ...r, [v.key]: v }), {});
+  const result1Mapped = result1.reduce((r, v) => ({ ...r, [`${v.OPI_SN}@${v.SubTypeSN}`]: v }), comm.cloneDeep(initialMapped));
+  const result2Mapped = result2.reduce((r, v) => ({ ...r, [`${v.OPI_SN}@${v.SubTypeSN}`]: v }), comm.cloneDeep(initialMapped));
+  const afterCalc = initialDataWithAllKeys.map((row) => {
+    const diff = {
+      COLI_YJLY2: result2Mapped?.[row.key]?.COLI_YJLY || 0,
+      COLI_YJLY_vs: result2Mapped?.[row.key]?.COLI_YJLY ? comm.fixTo2Decimals(((result1Mapped[row.key].COLI_YJLY - result2Mapped[row.key].COLI_YJLY) / result2Mapped[row.key].COLI_YJLY) * 100) : 0,
+      COLI_YJLY_diff: result1Mapped[row.key].COLI_YJLY - result2Mapped[row.key].COLI_YJLY,
+    };
+    const extField = comm.pick(result2Mapped[row.key], ['OPI_Name', 'SubTypeName', 'groups']);
+    return { ...result1Mapped[row.key], ...extField, ...diff };
+  });
+  return afterCalc;
+};
+
 export default SaleStore;
diff --git a/src/views/Sale.jsx b/src/views/Sale.jsx
index 26e7b83..465db52 100644
--- a/src/views/Sale.jsx
+++ b/src/views/Sale.jsx
@@ -75,7 +75,10 @@ const Sale = () => {
         average_value = Math.round(config_data.data.reduce((a, b) => a + b.PriceTime, 0) / config_data.data.length);
         break;
       default:
-        config_data.data = [];
+        // config_data.data = [];
+        config_data.data = type_data.dataSource;
+        config_data.xField = 'T_name';
+        config_data.yField = 'T_total';
         break;
     }
     return {