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How lease contracts were distributed by type of leasing companies

· dynamics annual · rows: 5 · periods: 9 · section: Construction (в России. 202 4)

Financial leasing is long-term rental with a buyout option. The table presents the total value of all leasing contracts concluded during the year, broken down by leasing company type. The figures show the distribution of leasing volumes among various market participants

Bar chart showing the distribution of concluded financial leasing contracts by leasing company type in 2010, 2016, and 2017

0 1,000 2,000 3,000 4,000 2010 2015 2016 2017 2018 2019 2020 2021 2022
how it will look

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Set in numbers

Coverage: 5 series, 2010 through 2022, 9 reporting periods. 44 values in total.

“Всего млрд руб.” multiplied by 6.3 between 2010 and 2022: from 458 to 2,872. The highest value in the series is 3,638 in 2021.

All table numbers are series: 5
Series 201020152016201720182019202020212022
Всего млрд руб. 458,10 502,50 743,50 1 140,70 1 466,20 1 654,70 2 450,80 3 638,20 2 872,20
в том числе — организации, не относящиеся к субъектам малого и среднего предпринимательства 289,90 456,30 646,50 1 042,90 1 363,80 1 536,80 2 294,50 3 337,20 2 737,30
в том числе — средние организации 13,10 20,20 33,70 40,00 21,40 16,80 21,40 70,20 22,00
в том числе — малые предприятия (без микропредприятий) 144,00 26,00 46,00 30,30 46,60 42,60 70,00 69,60 75,70
в том числе — микропредприятия 11,10 — 17,30 27,50 34,40 58,50 64,90 161,20 37,20

How to read this table

Rows indicate years and columns indicate leasing company types. The data allow for comparison of the market shares of various companies over time. Refer to the 'Total' and 'including - micro-enterprises' rows to analyze the market structure

What is visible in these numbers

“Всего млрд руб.” leads the table with 2,872, “в том числе — средние организации” closes it with 22. The gap between them is 131-fold.

More in the section Construction»

Period and application

Data are provided for 2010, 2016, and 2017. Data updates are not scheduled, as the dataset contains only cross-sectional data without time-series dynamics. The information is useful for leasing market analysts, investors, and regulators to assess the structure and concentration of debt resources in the industry

1) Без микропредприятий.