Finance
17 columns
35 rows
8 formats

Asset Depreciation Calculation Table

This dataset provides detailed, year-by-year depreciation calculations for company assets, including acquisition details, depreciation methods, annual and accumulated depreciation, and book values. It enables precise financial reporting, tax compliance, and asset management by tracking each asset's lifecycle and depreciation schedule. The dataset is ideal for accountants, auditors, and financial analysts seeking transparency and accuracy in fixed asset accounting.

last updated 12 Jul 2025
by GoMask

The brief that made it

Automated calculation and reporting of asset depreciation for financial statements

Sample rows

preview · 8 of 35 rows · all 17 columns

asset_idstring	asset_categorystring	depreciation_expensefloat	is_activeboolean	departmentstring	asset_namestring	acquisition_datedate	acquisition_costfloat	depreciation_methodstring	useful_life_yearsinteger	salvage_valuefloat	depreciation_yearinteger	depreciation_start_datedate	depreciation_end_datedate	accumulated_depreciationfloat	book_value_end_of_yearfloat	locationstring
AST-10001	equipment	7600	true	Logistics	Forklift FLX200	2019-02-15	42000	straight_line	5	4000	1	2019-02-15	2019-12-31	7600	34400	Warehouse A
AST-10002	building	46666.67	true	Facilities	Office Building 7th Ave	2012-09-12	1500000	straight_line	30	100000	8	2019-01-01	2019-12-31	373333.36	1126666.64	HQ Main
AST-10003	vehicle	8700	true	Distribution	Delivery Van XLT	2020-01-09	29000	declining_balance	6	3500	1	2020-01-09	2020-12-31	8700	20300	Warehouse B
AST-10004	equipment	12000	true	Manufacturing	CNC Machine ProMax	2018-06-21	88000	sum_of_years_digits	10	10000	3	2020-01-01	2020-12-31	31200	56800	Plant 1
AST-10005	equipment	3800	true	IT	IT Server Rack Alpha	2017-03-30	21000	straight_line	5	2000	4	2020-01-01	2020-12-31	15200	5800	Server Room
AST-10006	equipment	1150	true	Security	Security Camera Set	2018-11-10	5400	straight_line	4	800	2	2019-11-10	2020-11-09	2300	3100	Parking Deck
AST-10007	furniture	1542.86	true	Administration	Office Desks - 2nd Floor	2019-07-05	12000	straight_line	7	1200	1	2019-07-05	2020-07-04	1542.86	10457.14	2nd Floor
AST-10008	equipment	987.5	true	R&D	Laboratory Refrigerator	2016-04-12	8800	straight_line	8	900	5	2020-01-01	2020-12-31	4937.5	3862.5	Lab A
AST-10009	vehicle	1140	false	Sales	Company Sedan SE	2015-10-07	25000	declining_balance	7	2000	6	2020-01-01	2020-12-31	23060	1940	Garage 1
AST-10010	equipment	4000	true	R&D	3D Printer LabJet	2021-03-18	14000	sum_of_years_digits	5	1000	1	2021-03-18	2021-12-31	4000	10000	Lab B
AST-10011	furniture	730	true	Facilities	Cafeteria Tables	2014-08-10	8000	straight_line	10	700	7	2020-01-01	2020-12-31	5110	2890	Cafeteria
AST-10012	equipment	750	true	IT	Conference Room Projector	2018-01-22	3500	straight_line	4	500	3	2020-01-01	2020-12-31	2250	1250	Conference Room 2
AST-10013	equipment	11000	true	Manufacturing	Assembly Line Robot	2017-12-19	98000	units_of_production	8	9000	4	2020-01-01	2020-12-31	42900	55100	Plant 2
AST-10014	equipment	5500	true	Facilities	Main Office Elevator	2010-06-01	115000	straight_line	20	5000	11	2020-01-01	2020-12-31	60500	54500	Main Office
AST-10015	vehicle	6360	true	Field Service	Fleet Car Hybrid	2018-05-28	26500	declining_balance	5	3000	2	2019-05-28	2020-05-27	14820	11680	Garage 2
AST-10016	equipment	5333.33	true	Engineering	Workstation Computers	2021-02-20	18500	straight_line	3	2500	1	2021-02-20	2021-12-31	5333.33	13166.67	Office C
AST-10017	furniture	800	true	Administration	Reception Furniture Set	2016-09-17	5500	straight_line	6	700	5	2020-01-01	2020-12-31	4000	1500	Reception
AST-10018	equipment	3666.67	true	Manufacturing	Production Line Conveyor	2014-02-06	46000	straight_line	12	2000	7	2020-01-01	2020-12-31	25666.69	20333.31	Plant 1
AST-10019	vehicle	3456	true	Field Service	Company Pickup Truck	2017-11-25	32000	declining_balance	7	4000	4	2020-01-01	2020-12-31	17280	14720	Garage 3
AST-10020	equipment	1825	true	Marketing	Large Format Printer	2019-09-02	7800	straight_line	4	500	2	2020-09-02	2021-09-01	3650	4150	Print Room

What the 35 rows show

from the 35-row sample

94%is_active = true
1,571median depreciation_expense
4depreciation methods
14,000median acquisition_cost
7median useful_life_years
1,200median salvage_value

asset_category35 rows by value

depreciation_expense35 rows, in bands of 5,000

Median 1,571, from 287.5 to 46,667.

department35 rows · top 10 of 15 values

Facilities7
Manufacturing4
Logistics3
Administration3
R&D3
Distribution2
IT2
Field Service2
Marketing2
Executive2

17 columns by typefrom the column list below

string 6
integer 2
float 5
date 3
boolean 1

Columns

17 columns in four groups

blueprint · 17 columns
column	type	description	example
Text 6 columns
`asset_id`	string	Unique identifier for the assetunique	AST-10001
`asset_name`	string	Descriptive name of the asset	Forklift FLX200
`asset_category`	string	Category or type of the asset (e.g., vehicle, equipment, building)4 categories	equipment
`depreciation_method`	string	Method used for depreciation calculation (e.g., straight_line, declining_balance)5 values	straight_line
`department`	string	Department or business unit responsible for the assetoptional	Logistics
`location`	string	Physical location or site where the asset is heldoptional	Warehouse A
Numbers 7 columns
`acquisition_cost`	float	Original purchase cost of the asset0 or more	42000
`useful_life_years`	integer	Expected useful life of the asset in years1 or more	5
`salvage_value`	float	Estimated residual value of the asset at the end of its useful life0 or more	4000
`depreciation_year`	integer	Year number in the depreciation schedule (e.g., 1 for first year)1 or more	1
`depreciation_expense`	float	Depreciation expense recorded for the asset in the given year0 or more	7600
`accumulated_depreciation`	float	Total depreciation accumulated for the asset up to and including the given year0 or more	7600
`book_value_end_of_year`	float	Net book value of the asset at the end of the depreciation year0 or more	34400
Dates and times 3 columns
`acquisition_date`	date	Date the asset was acquired	2019-02-15
`depreciation_start_date`	date	Start date for the depreciation period (typically the fiscal year start or acquisition date)	2019-02-15
`depreciation_end_date`	date	End date for the depreciation period (typically the fiscal year end)	2019-12-31
True or false 1 column
`is_active`	boolean	Indicates if the asset is currently active (true) or retired/disposed (false)	true

Use it for

A finance dashboard
The is_active rate, depreciation_expense by asset_category and a breakdown of department. Excel, Power BI or Tableau.
Why do 33 of 35 rows have is_active = true?
A class exercise
Hand out the rows and one question. Everyone works from the same 35 rows.
Assets35
AST-100017600equipment
AST-1000246666.67building
AST-100091140vehicle
A software demo
Believable assets with asset_name, asset_category and acquisition_date to fill a screen in front of a buyer.

This dataset35 rows17 columns

Yours1,000 rows17 columnslocation: UK only

blueprint · asset-depreciation-calculation-table

Behind this dataset

Same schema. As many rows as you need.

These 35 rows came out of a blueprint — 17 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.

Rules it was built with

List assets with acquisition date
Calculate annual depreciation
Flag assets fully depreciated
Categorize by asset type
Update values at fiscal year end

Rows1,000 rows10,000 rows100,000 rows1,000,000 rows

Open the blueprint in Data Factory

1 credit per row. Preview 20 rows free. Buy rows for the full run.

Exports: CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence: yours to use, including commercially
API slug: asset-depreciation-calculation-table

What should your data show?

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Sample rows

What the 35 rows show

Columns

Use it for

A finance dashboard

A class exercise

A software demo

Make it yours.

Same schema. As many rows as you need.

More in Finance

What should your data show?