EL7.AI
Strategy BuilderCOT DataAdvanced NewsResearchNewEarnings CalendarEconomic Calendar
We use cookiesPrivacy Policy
EL7.AIEL7.AI

AI Financial Intelligence
Professional analysis of central bank decisions

© 2026 EL7.AI. All rights reserved.

Markets

  • News
  • Forex
  • Stocks
  • Crypto
  • Gold
  • Commodities
  • Indices
  • ETFs

Analysis

  • Fed
  • ECB
  • COT
  • Economic Calendar

Learn

  • Service Guide
  • Oil

Company

  • About
  • Contact
  • Data Methodology
  • AI Disclosure
  • Pricing
  • Enterprise
  • Terms
  • Privacy
  • Security
  • WhatsApp
Status data is currently unavailable

The information provided on EL7.AI is for educational and informational purposes only and does not constitute financial advice.

Business Climate

European UnionMonthly
SummaryAbout This Indicator4Historical Data30Revision history4
Latest release · September 29, 2026 · 09:00 UTC
-0.06
No forecast was recorded for this release
Last five prints
-0.27-0.36-0.19-0.24-0.06
Forecast
—
Previous · Revised from -0.22
-0.24Actual is higher by 0.18

About This Indicator

4 questions

The Business Climate Indicator (BCI) combines 5 industry survey balances into 1 common factor for euro-area manufacturing only. It is published each month by DG ECFIN, the Commission's economics and financial affairs department, with Eurostat disseminating results and metadata. A standing panel of firms is resurveyed each month, with a nominal sample of about 38000 industry units and usable replies about 30% lower.

Its value is read in std-dev points around zero, the long-run average, with above-zero better than usual and below-zero adverse. It moves at the same time as overall industrial activity on a fairly smooth path, and a turn needs at least 2 months to confirm. It differs from the industrial confidence indicator, which uses only 3 series and a different method. It does not cover services, construction, retail trade or consumers, and it does not measure industrial output itself.

Firms usually answer in the first 2 to 3 weeks, and results reach DG ECFIN at least 5 working days before month end. It is published by press release 2 working days before each month end with the ESI, while December results appear in early January. A flash consumer reading lands around the 20th, the BCI appears with the ESI, and quarterly results follow in January, April, July and October.

Each release brings sectoral confidence indicators, the ESI, the Employment Expectations Indicator, the Economic Uncertainty Indicator, tables and a statistical annex. DG ECFIN revises data only slightly, mainly seasonally adjusted series rather than unadjusted ones, and country weights plus seasonal settings refresh each January. Long series are freely downloadable as Excel files.

The BCI moves with 5 equally treated seasonally adjusted industry balances, net shares of positive minus negative replies, with influence from their common link.

  • Production trends in recent months: captures output momentum over the past 3 months.
  • Overall order books: reflects the backlog of unfilled orders.
  • Export order books: shows foreign demand alone, apart from domestic orders.
  • Stocks of finished products: signals inventory overhang above normal, a counter-cyclical scale drawn inverted.
  • Production expectations: covers planned output over the next 3 months.

In August 2018 the BCI eased by 0.08 points to 1.22, still above its long-run average. Past production and overall orders worsened markedly, while export orders and stocks edged down and expectations improved. The headline still fell because the shared signal across all 5 worsened. The lesson is that 1 component can move against the headline, since the method drops contradictory signals and 1.22 means above-average climate.

  1. Balances: Each national reply share becomes a balance, positive minus negative replies, from -100 to +100.
  2. Euro-area average: National balances are averaged using each country's share of manufacturing value added, smoothed over 2 years and reset each January.
  3. Seasonal adjustment: Each euro-area series is cleaned for normal seasonal swings with Tramo-Seats software, whose settings refresh each January.
  4. Common factor: The 5 cleaned series are centred on their means to combine into 1 shared signal, which explains about 92% of moves. No part gets extra weight upfront; influence comes from estimated linkages.
  5. Example: Suppose balances are +8, -6, -4, +5 and +10; scaling and shared-signal math can give +1.2 std-dev points, or above-average climate. Leftovers unique to 1 question are dropped, so 1 part can oppose the headline.

Key point

The BCI is not industrial confidence, which uses only 3 series and a different method. It does not measure the whole economy or Germany's Ifo; it covers euro-area industry only, with no EU-wide version. There is no fixed line at 50 or 100; zero is the long-run average.

Historical Data

View data as table
DateActualForecastSurprise
Sep 29, 2026-0.06——
Aug 28, 2026-0.24——
Jul 30, 2026-0.19——
Jun 29, 2026-0.36——
May 28, 2026-0.27——
Apr 29, 2026-0.27——
Mar 30, 2026-0.27——
Feb 26, 2026-0.36——
Jan 29, 2026-0.41——
Jan 8, 2026-0.56——
Nov 27, 2025-0.66——
Oct 30, 2025-0.46——
Sep 29, 2025-0.76——
Aug 28, 2025-0.72——
Jul 30, 2025-0.72——
Jun 27, 2025-0.78——
May 27, 2025-0.55——
Apr 29, 2025-0.67——
Mar 28, 2025-0.73——
Feb 27, 2025-0.74——
Jan 30, 2025-0.94——
Jan 8, 2025-0.91——
Nov 28, 2024-0.77——
Aug 29, 2024-0.62——
Jul 30, 2024-0.61——
Jun 27, 2024-0.46——
Apr 29, 2024-0.53——
Mar 27, 2024-0.30——
Feb 28, 2024-0.42——

Revision history

4 of 4 prints were revised after release
DateFirst printCurrentRevision
Aug 28, 2026-0.22-0.24-0.02
Jun 29, 2026-0.38-0.36+0.02
May 28, 2026-0.26-0.27-0.01
Apr 29, 2026-0.28-0.27+0.01

Indicator questions

Source · European Commission (Eurostat)View Source
Next release
Thursday, October 29 · 10:00
21 days
September 29October 29

Statistics

30 readings
  • Mean-0.55
  • Std Deviation0.20
  • TrendRising
  • Year-over-year change+0.59
Latest reading against its usual range (mean ± one standard deviation)
-0.06-0.75-0.55-0.34

The latest reading is 2.4 standard deviations above the mean.