France Corporate Loan Interest Rate: Monthly Data Since 2003

The France corporate loan interest rate is the Banque de France measure of the average annual rate on new loans to non-financial corporations, monthly since January 2003 — 280 observations. It comes from the MIR statistical framework, the harmonised euro area collection on monetary financial institution interest rates, and it is the rate actually contracted rather than a posted or advertised rate. French firms are roughly 70% bank-financed, against about 30% in the United States, which makes this series the most direct available reading of the cost of capital for the French corporate sector.

Dataset: France Corporate Loan Interest Rate (2003–2026) · Updated 2026-08-01

Latest Value
3.66%
Aug 1, 2026
Historical Percentile
63th
Above average
Historical Average
2.95%
284 observations
Historical Range
HIGH
5.63%
Sep 1, 2008
LOW
0.75%
May 1, 2020

Data provided as is, with no warranty of accuracy or timeliness. Check any figure against the primary source cited on this page before using it. Terms: legal notice.

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Source: Banque de France (Webstat, MIR1) · new loans to non-financial corporations · reuse under the Webstat legal notice


Macro Takeaway

Because bank credit dominates French corporate financing, the transmission of ECB policy to the French productive economy runs almost entirely through this rate rather than through bond spreads. The series shows how fast and how completely that transmission works: from 1.261% in January 2022 to 4.80% in November 2023, the rate was multiplied by 3.8 in twenty-two months, closely tracking the deposit facility rate over the same window.

The reverse leg is slower and incomplete. The rate has come back to 3.58% by April 2026, well above the 2015–2021 range where it never exceeded 2%, and above its own long-run average of 2.94%. The series low was 0.75% in May 2020, at the height of the state-guaranteed loan programme; the high was 5.63% in September 2008, the month Lehman Brothers failed.


Dataset Overview

IndicatorFrance Corporate Loan Interest Rate (2003–2026)
GeographyFrance
FrequencyMonthly
PeriodJanuary 2003 – April 2026 (280 observations)
Variablesdate, corporate_loan_rate
FormatCSV, Excel (XLSX), JSON
SourcesBanque de France — Webstat, MIR1 dataset, new loans to non-financial corporations
Last updated2026-08-01

Dataset Variables

The CSV, Excel and JSON files contain the following columns.

ColumnTypeDescription
dateDate (YYYY-MM-DD)First day of the reference month
corporate_loan_rateFloatAverage annual interest rate on new loans to non-financial corporations, all amounts, in percent

Column names match the CSV headers exactly.


Download the Complete Dataset

The full France corporate loan rate series is available in CSV and Excel formats.

Data provided as is, with no warranty of accuracy or timeliness. Check any figure against the primary source cited on this page before using it. Terms: legal notice.

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Direct Data Access

The Banque de France publishes the series through its Webstat portal and API, which requires a free registration. The Eco3min structured dataset returns it without authentication:

Direct CSV Access — Eco3min Structured Dataset

https://eco3min.fr/dataset/fr/fr-corporate-loan-rate.csv

This URL returns the complete dataset in CSV format. It can be used directly in pandas, R, curl, or any data tool. JSON and XLSX are available at the same path with the corresponding extension.


Using the Dataset in Python

import pandas as pd

url = "https://eco3min.fr/dataset/fr/fr-corporate-loan-rate.csv"
df = pd.read_csv(url, parse_dates=["date"])

print(df.head())
print(df["corporate_loan_rate"].describe())

Using the Dataset in R

library(readr)

url <- "https://eco3min.fr/dataset/fr/fr-corporate-loan-rate.csv"
df <- read_csv(url)

head(df)
summary(df$corporate_loan_rate)

Both examples load the dataset directly from the URL — no download or API key required.


Methodology

The series is retrieved daily by an Eco3min pipeline from the Banque de France MIR1 dataset. The Banque de France publishes with roughly a five to six week lag, so the series ends two months rather than one behind the current date.

The rate covers all loan sizes combined. Two companion series break it down by amount, below and above one million euros, and their difference is published separately as the SME borrowing premium. As with all MIR rates, the measure is narrowly defined: it excludes arrangement fees, guarantee costs and any covenant pricing, so it sits below the all-in cost a borrower actually bears.


Historical Regimes

  • 2003–2008 — the pre-crisis normal. From 4.27% to a series high of 5.63% in September 2008. The rate tracked the ECB tightening cycle almost point for point.
  • 2009–2014 — the descent. The rate fell steadily as the ECB cut, with a visible pause during the 2011–2012 sovereign crisis when French bank funding costs rose against policy rates.
  • 2015–2019 — below 2%. From 1.813% in January 2015, the rate never left the 1.2% to 1.8% band. Asset purchases and negative deposit rates passed through to corporate credit almost fully.
  • 2020–2021 — the guaranteed-loan floor. The series low of 0.75% in May 2020 coincides with the state-guaranteed loan scheme, which mechanically pulled the average down. The rate was still 1.388% in September 2021.
  • 2022–2023 — the fastest repricing in the series. From 1.261% to 4.80% in twenty-two months. No previous episode moved the corporate cost of capital this far this fast.
  • 2024–2026 — partial retreat. Down to 4.18% by December 2024 and 3.58% by April 2026. The rate has given back roughly half the increase and stalled above its long-run average.

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Macroeconomic Dataset Hub

This dataset is part of the Eco3min macro-financial data repository.

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Sources

  • Banque de France — Webstat, MIR1 dataset (monetary financial institution interest rates), new loans to non-financial corporations, France.
  • Terms: Banque de France data (WEBSTAT portal), reusable including commercially under the Webstat legal notice: data not altered, source and update date cited, WEBSTAT portal named for commercial reuse. Neither the Licence Ouverte nor a Creative Commons licence applies.

Dataset Reference

Last updated — 14 October 2026

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