How fast are financial, real estate and professional services growing?
MoSPI · released 31 Aug 2026 · next due by 30 Nov 2026
| Period | Value (%) |
|---|---|
| Q1 2026-27 | 12.1 |
| Q4 2025-26 | 12.3 |
| Q3 2025-26 | 10.9 |
| Q2 2025-26 | 9.9 |
| Q1 2025-26 | 8.8 |
| Q4 2024-25 | 7.7 |
| Q3 2024-25 | 9.7 |
| Q2 2024-25 | 10.0 |
| Q1 2024-25 | 8.5 |
| Q4 2023-24 | 8.9 |
| Q3 2023-24 | 6.8 |
| Q2 2023-24 | 3.7 |
| Q1 2023-24 | 7.1 |
Use in your answer
India's financial, real estate and professional services grew 12.1% in real terms (GVA) in Q1 2026-27, compared with 12.3% in Q4 2025-26. Source: MoSPI, Quarterly Estimates of GDP (base 2022-23).
Cite as: Quarterly Estimates of GDP (National Accounts Statistics) (NSO, MoSPI), Q1 2026-27
What this shows
- This group grew 12.1% in real terms in Q1 (April–June) 2026-27, up from 8.8% a year earlier; MoSPI named it the main driver of 10.0% tertiary-sector growth that quarter.
- It is the largest single block of GVA in the quarterly accounts: ₹20.17 lakh crore of ₹73.82 lakh crore real GVA in Q1 2026-27 (press note, Statement 1).
- Growth has been in double digits for three quarters running (Q3 2025-26 to Q1 2026-27), up from a low of 3.7% in Q2 2023-24.
Cite this
Cite a fixed version from every published version below.
Source and method
What exactly is measured
Year-on-year growth in real gross value added by financial services, real estate, ownership of dwellings, IT and professional services, by quarter of the financial year, at constant 2022-23 prices. The latest quarter is a first estimate.
History: every published version
Each time the source changes this series we archive the full series as it stood, with an archived copy of the source, and never delete an old version. Each version has a permanent page you can cite. Recorded since 18 Oct 2026: 1 version.
No figure in this series has been revised since we began recording on 18 Oct 2026.
- 13 periods, latest Q1 2026-27: 12.1% · first snapshotArchived source
69fd3b8075fb
Release notes (1)
- 12.1%Q1 2026-27, first estimate
Get the data
Use it in Excel, Python or R
Excel (Data → From Web): https://india.tf/c/eco-finre-030/data.csv
Python: pandas.read_csv("https://india.tf/c/eco-finre-030/data.csv")
R: read.csv("https://india.tf/c/eco-finre-030/data.csv")
All statistics: /api/index.json. Free to reuse with attribution (GODL-India).
