Administrative Expenses to Total Expenses of the Microfinance Banks

The FSI is a profitability ratio; which measures the size of the administrative expenses in the total expenses of the Microfinance Banks.

About this series

The FSI is a profitability ratio; which measures the size of the administrative expenses in the total expenses of the Microfinance Banks.

Use cases

Who uses this

Metadata

Series IDmoney.administrative_expenses_total_expenses_micro
SourceSBP
Unit%
FrequencyQuarterly
First observation31 Mar 2009
Last observation30 Sept 2025
Tierbasic

Fetch it

curl -H "X-API-Key: pk_live_xxx" \
  "https://api.pakdatahub.com/v1/series/money.administrative_expenses_total_expenses_micro"

JSON by default; add ?format=csv for CSV, from/to to filter dates, or transform=yoy|mom|pct_change|3ma|index for server-side transforms. See the series endpoint docs and pricing.

Related series

FAQ

What is Administrative Expenses to Total Expenses of the Microfinance Banks?

The FSI is a profitability ratio; which measures the size of the administrative expenses in the total expenses of the Microfinance Banks.

Does PakDataHub have Pakistan money and banking data on Administrative Expenses to Total Expenses of the Microfinance Banks?

Yes. Administrative Expenses to Total Expenses of the Microfinance Banks is an official Pakistan money and banking time series (quarterly, from SBP) available on the PakDataHub API, covering 2009 to 2025. Query it as JSON or CSV at /v1/series/money.administrative_expenses_total_expenses_micro, with server-side transforms (YoY, index, % change).

How far back does Administrative Expenses to Total Expenses of the Microfinance Banks go?

PakDataHub carries Administrative Expenses to Total Expenses of the Microfinance Banks covering 2009 to 2025, updated on a quarterly basis from SBP.

How do I get Administrative Expenses to Total Expenses of the Microfinance Banks via the API?

Call GET /v1/series/money.administrative_expenses_total_expenses_micro with your API key. Add ?format=csv for a download, or filter by date with from/to.