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National Settlement Service – Quarterly Statistics

Last updated on July 21, 2026

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Quarterly National Settlement Service Statistics
QuarterVolume of NSS entries processed
(number)		Quarterly volume growth of NSS entries
(percent)		Volume of NSS files processed
(number)		Value of total settlement1
($millions)		Quarterly value growth
(percent)		Average daily number of entries2
(number)		Average daily Number of files3
(number)		Average daily settlement value4
($millions)
2026:Q2151,1135.92,2328,303,5575.22,39935131,802
2026:Q1142,641(2.0)2,0757,894,1230.22,33834129,412
2025:Q4145,501(3.5)2,1057,878,2625.52,34734127,069
2025:Q3150,7122.02,1767,469,1040.92,35534116,705
2025:Q2147,7183.12,1367,403,7014.02,34534117,519
2025:Q1143,219(1.9)2,0707,119,231(1.7)2,34834116,709
2024:Q4145,934(2.0)2,1087,240,6731.82,35434116,785
2024:Q3148,9301.62,1617,115,5601.02,32734111,181
2024:Q2146,6011.72,1117,046,3022.52,32734111,846
2024:Q1144,1100.12,1466,871,889(0.3)2,32435110,837
2023:Q4143,986(1.4)2,1636,895,6236.02,32235111,220
2023:Q3146,103(0.8)2,1436,507,9060.72,31934103,300
2023:Q2147,3492.12,1336,463,759(2.8)2,33934102,599
2023:Q1144,2571.72,1306,651,5420.62,32734107,283
2022:Q4141,807(5.2)2,1436,608,6802.52,32535108,339
2022:Q3149,6551.12,2436,446,963(4.1)2,33835100,734
2022:Q2148,0430.92,1986,719,7071.32,35035106,662
2022:Q1146,738(1.0)2,1796,633,1760.92,36735106,987
2021:Q4148,185(2.5)2,2086,573,9886.02,35235104,349
2021:Q3151,959(0.0)2,2246,203,142(1.8)2,3743596,924
2021:Q2152,00513.42,2166,315,2186.42,3753598,675
2021:Q1134,030(0.4)2,0275,933,4090.62,1973397,269
2020:Q4134,516(4.4)2,0325,896,1255.52,1703395,099
2020:Q3140,7531.42,1165,586,199(4.2)2,1653385,942
2020:Q2138,8001.12,1135,828,631(5.3)2,1693391,072
2020:Q1137,302(0.2)2,0936,154,2228.62,2153499,262
2019:Q4137,540(3.5)2,1215,669,0660.02,2183491,437
2019:Q3142,4890.32,2185,666,9286.62,2263588,546
2019:Q2142,1164.42,2935,314,9804.32,2213683,047
2019:Q1136,095(4.9)2,2555,093,946(5.9)2,2313783,507
2018:Q4143,046(2.1)2,4575,414,0978.02,3074087,324
2018:Q3146,163(1.7)2,4635,014,878(5.1)2,3203979,601
2018:Q2148,7435.22,5005,282,1182.12,3243982,533
2018:Q1141,442(0.6)2,2545,174,9843.82,2813683,467
2017:Q4142,347(1.4)2,2414,986,2752.52,2963680,424
2017:Q3144,393(1.8)2,3134,863,3212.82,2923777,196
2017:Q2147,0012.12,3504,728,632(1.2)2,2973773,885
2017:Q1143,9580.62,3344,788,3762.72,3223877,232
2016:Q4143,0812.72,3244,664,4993.22,3463876,467
2016:Q3139,294(1.3)2,3684,519,6681.02,1763770,620
2016:Q2141,1862.92,3524,476,5983.62,2063769,947
2016:Q1137,174(1.1)2,2894,322,384(0.9)2,2123769,716
2015:Q4138,764(5.1)2,3014,363,135(3.2)2,2383770,373
2015:Q3146,2901.12,4084,507,899(1.7)2,2513769,352
2015:Q2144,7383.82,3814,583,639(1.0)2,2623771,619
2015:Q1139,458(3.0)2,2824,630,8611.52,2863775,916
2014:Q4143,807(8.7)2,3444,563,7783.22,3193873,609
2014:Q3157,532(13.4)2,5204,420,475(0.7)2,4613969,070
2014:Q2181,9292.92,5734,451,8528.22,8434069,560
2014:Q1176,794(2.4)2,4594,115,521(4.3)2,8984067,468
2013:Q4181,145(1.5)2,5224,301,434(2.3)2,9224169,378
2013:Q3183,8890.12,6154,401,169(2.7)2,8734168,768
2013:Q2183,6774.12,5814,524,50811.62,8704070,695
2013:Q1176,3716.22,4344,053,955(2.5)2,8914066,458
2012:Q4166,134(0.6)2,2134,158,4635.32,6803667,072
2012:Q3167,198(1.2)2,1613,951,030(1.8)2,6543462,715
2012:Q2169,2845.62,1484,023,1491.82,6453462,862
2012:Q1160,2966.31,9813,952,153(3.2)2,5853263,744
2011:Q4150,799(1.7)1,9384,081,4811.42,4723266,910
2011:Q3153,34812.51,7774,023,7880.32,3962862,872
2011:Q2136,2574.11,6394,012,61210.82,1292662,697
2011:Q1130,875(0.3)1,5503,620,519(0.8)2,1112558,395
2010:Q4131,273(1.7)1,6513,650,2933.72,0842657,941
2010:Q3133,5741.81,7463,521,040(7.6)2,0872755,016
2010:Q2131,1956.31,7793,811,1877.52,0502859,550
2010:Q1123,402(2.4)1,7683,543,962(6.2)2,0232958,098
2009:Q4126,501(0.0)2,1543,776,213(4.0)2,0403560,907
2009:Q3126,51615.22,4473,931,633(6.4)1,9463860,487
2009:Q2109,8158.82,7584,201,439(8.5)1,7164365,647
2009:Q1100,898(7.0)3,1624,593,486(19.8)1,6545275,303
2008:Q4108,499(7.2)3,4665,727,05810.61,7505692,372
2008:Q3116,927(3.7)3,9115,180,1380.61,8276180,940
2008:Q2121,366(0.3)3,9605,149,4625.01,8966280,460
2008:Q1121,742(1.8)3,8574,904,121(0.0)1,9646279,099
2007:Q4123,975(3.9)4,0184,906,564(2.8)2,0006579,138
2007:Q3129,042(0.2)4,3435,050,21034.82,0486980,162
2007:Q2129,3325.54,4673,745,071137.62,0217058,517
2007:Q1122,6181.04,3531,576,3602.71,9787025,425
2006:Q4121,3802.34,3631,535,1129.21,9587024,760
2006:Q3118,6030.04,3921,405,485(5.3)1,8837022,309
2006:Q2118,5486.14,3661,484,4144.71,8526823,194
2006:Q1111,7272.54,2451,418,3031.21,8026822,876
2005:Q4109,036(3.5)4,1811,401,858(2.9)1,7876922,981
2005:Q3113,0262.84,3791,443,366(0.7)1,7666822,553
2005:Q2109,9221.54,3331,454,0577.71,7186822,720
2005:Q1108,320(1.5)4,5971,349,903(1.9)1,7767522,130
2004:Q4109,9260.04,9821,375,7616.51,7457921,837
2004:Q3109,9020.75,0491,292,146(6.5)1,7177920,190
2004:Q2109,1503.45,1601,382,20614.01,7058121,597
2004:Q1105,5740.35,1521,212,4793.11,7038319,556
2003:Q4105,302(2.0)5,2491,176,142(3.1)1,6988518,970
2003:Q3107,4670.45,3871,213,9209.01,6798418,968
2003:Q2107,0264.05,3901,113,48212.01,6728417,398
2003:Q1102,956(1.6)5,452993,818(4.9)1,6888916,292
2002:Q4104,673(2.5)5,7111,045,3467.21,6889216,860
2002:Q3107,3102.75,826975,3553.01,6779115,240
2002:Q2104,5135.75,804946,6436.51,6339114,791
2002:Q198,84713.95,572888,947(0.5)1,6209114,573
2001:Q486,79012.04,877893,75818.91,4007914,415
2001:Q377,4681.13,844751,484(8.4)1,2306111,928
2001:Q276,65212.13,761820,16031.91,1985912,815
2001:Q168,37729.63,273621,87524.41,1035310,030
2000:Q452,77712.52,347499,75615.6851388,061
2000:Q346,8935.41,740432,36918.1744286,863
2000:Q244,4764.91,423366,01630.7695225,719
2000:Q142,38428.31,307279,94048.3673214,443
1999:Q433,036261.9959188,760662.5524152,996
1999:Q39,128—11224,756—1432387

National Settlement Service – Quarterly Statistics

  1. Each file submitted to NSS contains a number of debit and credit entries which net to zero. The “settlement value” represented in these statistics includes the total dollar value (debits only) of settlement files processed through NSS. ↩︎
  2. Based on the number of business days per period. ↩︎
  3. Based on the number of business days per period. ↩︎
  4. Based on the number of business days per period. ↩︎

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