SAP SE Long Term Debt 2010-2022 | SAP

SAP SE long term debt from 2010 to 2022. Long term debt can be defined as the sum of all long term debt fields.
  • SAP SE long term debt for the quarter ending September 30, 2022 was $9.634B, a 27.97% decline year-over-year.
  • SAP SE long term debt for 2021 was $13.064B, a 15.94% decline from 2020.
  • SAP SE long term debt for 2020 was $15.541B, a 7.37% increase from 2019.
  • SAP SE long term debt for 2019 was $14.474B, a 16.13% increase from 2018.
SAP SE Annual Long Term Debt
(Millions of US $)
2021 $13,064
2020 $15,541
2019 $14,474
2018 $12,463
2017 $6,051
2016 $6,839
2015 $9,639
2014 $10,290
2013 $5,179
2012 $5,862
2011 $4,074
2010 $5,908
2009 $1,017
SAP SE Quarterly Long Term Debt
(Millions of US $)
2022-09-30 $9,634
2022-06-30 $10,126
2022-03-31 $11,301
2021-12-31 $13,064
2021-09-30 $13,374
2021-06-30 $13,702
2021-03-31 $14,912
2020-12-31 $15,541
2020-09-30 $16,534
2020-06-30 $15,965
2020-03-31 $13,798
2019-12-31 $14,474
2019-09-30 $15,178
2019-06-30 $15,811
2019-03-31 $16,736
2018-12-31 $12,463
2018-09-30 $7,909
2018-06-30 $7,796
2018-03-31 $7,964
2017-12-31 $6,051
2017-09-30 $6,830
2017-06-30 $6,887
2017-03-31 $6,878
2016-12-31 $6,839
2016-09-30 $8,085
2016-06-30 $9,833
2016-03-31 $9,532
2015-12-31 $9,639
2015-09-30 $10,144
2015-06-30 $10,063
2015-03-31 $10,477
2014-12-31 $10,290
2014-09-30 $5,255
2014-06-30 $5,200
2014-03-31 $5,161
2013-12-31 $5,179
2013-09-30 $5,033
2013-06-30 $5,039
2013-03-31 $5,944
2012-12-31 $5,862
2012-09-30 $2,652
2012-06-30 $3,539
2012-03-31 $3,793
2011-12-31 $4,074
2011-09-30 $5,674
2011-06-30 $5,676
2011-03-31 $5,340
2010-12-31 $5,908
2010-09-30
2010-06-30 $2,251
2010-03-31 $969
2009-12-31 $1,017
2009-09-30 $1,038
2009-06-30
2009-03-31 $38
Sector Industry Market Cap Revenue
Computer and Technology Computer Software $127.241B $32.942B
SAP SE is one of the largest independent software vendors in the world and the leading provider of enterprise resource planning (ERP) software. Its solutions are designed to cater to the needs of organizations, ranging from small and medium businesses to large, global enterprises. The company provides machine learning (ML), Internet of Things (IoT), and advanced analytics technologies which helps customers deriving meaningful insights and decision-making capabilities. The company also provides end-to-end suite of applications and services.
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