Financial Calculations & Valuation
Beginner
Corporate Fixed Asset Schedule & Depreciation Calculator (SLM & WDV Tax Acts) in Python
Generate year-by-year Fixed Asset Registers, Straight-Line (SLM), and Written Down Value (WDV) tax depreciation schedules in Python Pandas.
#pandas#numpy
Problem Statement
Managing corporate asset blocks, additions, sales, and depreciation tax shields across multiple asset classes requires rigorous fixed asset register automation.
Formula / Core Logic
WDV_Depreciation = Opening_Block_Value * Depreciation_Rate
Installation
pip install pandas numpy
fixed-asset-schedule-depreciation-slm-wdv-python.py
import pandas as pd
.def calculate_fixed_asset_schedule(asset_cost, years=5, wdv_rate=0.15):
rows = []
opening = asset_cost
for yr in range(1, years + 1):
dep = opening * wdv_rate
closing = opening - dep
rows.append({'Year': yr, 'Opening': round(opening, 2), 'Depreciation': round(dep, 2), 'Closing': round(closing, 2)})
opening = closing
return pd.DataFrame(rows)
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Buy Full Bundle on Gumroad ($19) →Frequently Asked Questions
Q: How does WDV depreciation differ from Straight Line Method (SLM)?
WDV calculates depreciation on the diminishing net book value each year, whereas SLM charges a fixed percentage on original historical cost.