Time Available: 2013-M-01 - 2027-M-07
Data Summary: Switzerland, Exports to, South Europe, Wood Processing Equipment, 1000 EUR, Trend + Forecast, Value (M)
| Time Period | Value | Data Range |
|---|---|---|
| 2016-M-07 | 1.370,42 | 2013-M-01 - 2027-M-07 |
| 2016-M-08 | 935,58 | 2013-M-01 - 2027-M-07 |
| 2016-M-09 | 1.113,82 | 2013-M-01 - 2027-M-07 |
| 2016-M-10 | 1.109,45 | 2013-M-01 - 2027-M-07 |
| 2016-M-11 | 1.536,18 | 2013-M-01 - 2027-M-07 |
| 2016-M-12 | 1.015,12 | 2013-M-01 - 2027-M-07 |
| 2017-M-01 | 1.460,30 | 2013-M-01 - 2027-M-07 |
| 2017-M-02 | 1.475,43 | 2013-M-01 - 2027-M-07 |
| 2017-M-03 | 1.647,46 | 2013-M-01 - 2027-M-07 |
| 2017-M-04 | 1.076,29 | 2013-M-01 - 2027-M-07 |
| 2017-M-05 | 1.211,32 | 2013-M-01 - 2027-M-07 |
| 2017-M-06 | 1.136,78 | 2013-M-01 - 2027-M-07 |
| 2017-M-07 | 1.451,86 | 2013-M-01 - 2027-M-07 |
| 2017-M-08 | 707,92 | 2013-M-01 - 2027-M-07 |
| 2017-M-09 | 930,92 | 2013-M-01 - 2027-M-07 |
| 2017-M-10 | 1.222,10 | 2013-M-01 - 2027-M-07 |
| 2017-M-11 | 1.207,29 | 2013-M-01 - 2027-M-07 |
| 2017-M-12 | 737,06 | 2013-M-01 - 2027-M-07 |
| 2018-M-01 | 1.436,26 | 2013-M-01 - 2027-M-07 |
| 2018-M-02 | 984,64 | 2013-M-01 - 2027-M-07 |
| 2018-M-03 | 1.876,60 | 2013-M-01 - 2027-M-07 |
| 2018-M-04 | 1.540,16 | 2013-M-01 - 2027-M-07 |
| 2018-M-05 | 863,62 | 2013-M-01 - 2027-M-07 |
| 2018-M-06 | 1.354,53 | 2013-M-01 - 2027-M-07 |
| 2018-M-07 | 1.615,07 | 2013-M-01 - 2027-M-07 |
| 2018-M-08 | 1.137,29 | 2013-M-01 - 2027-M-07 |
| 2018-M-09 | 1.001,17 | 2013-M-01 - 2027-M-07 |
| 2018-M-10 | 977,42 | 2013-M-01 - 2027-M-07 |
| 2018-M-11 | 2.114,19 | 2013-M-01 - 2027-M-07 |
| 2018-M-12 | 631,42 | 2013-M-01 - 2027-M-07 |
| 2019-M-01 | 1.056,45 | 2013-M-01 - 2027-M-07 |
| 2019-M-02 | 1.576,99 | 2013-M-01 - 2027-M-07 |
| 2019-M-03 | 1.404,57 | 2013-M-01 - 2027-M-07 |
| 2019-M-04 | 1.560,53 | 2013-M-01 - 2027-M-07 |
| 2019-M-05 | 1.730,00 | 2013-M-01 - 2027-M-07 |
| 2019-M-06 | 1.077,88 | 2013-M-01 - 2027-M-07 |
| 2019-M-07 | 1.455,05 | 2013-M-01 - 2027-M-07 |
| 2019-M-08 | 888,00 | 2013-M-01 - 2027-M-07 |
| 2019-M-09 | 1.033,75 | 2013-M-01 - 2027-M-07 |
| 2019-M-10 | 1.007,34 | 2013-M-01 - 2027-M-07 |
| 2019-M-11 | 1.035,99 | 2013-M-01 - 2027-M-07 |
| 2019-M-12 | 1.074,05 | 2013-M-01 - 2027-M-07 |
| 2020-M-01 | 1.208,17 | 2013-M-01 - 2027-M-07 |
| 2020-M-02 | 1.321,48 | 2013-M-01 - 2027-M-07 |
| 2020-M-03 | 1.804,98 | 2013-M-01 - 2027-M-07 |
| 2020-M-04 | 656,89 | 2013-M-01 - 2027-M-07 |
| 2020-M-05 | 844,52 | 2013-M-01 - 2027-M-07 |
| 2020-M-06 | 969,57 | 2013-M-01 - 2027-M-07 |
| 2020-M-07 | 1.175,20 | 2013-M-01 - 2027-M-07 |
| 2020-M-08 | 776,05 | 2013-M-01 - 2027-M-07 |
| 2020-M-09 | 764,32 | 2013-M-01 - 2027-M-07 |
| 2020-M-10 | 1.472,05 | 2013-M-01 - 2027-M-07 |
| 2020-M-11 | 584,74 | 2013-M-01 - 2027-M-07 |
| 2020-M-12 | 603,94 | 2013-M-01 - 2027-M-07 |
| 2021-M-01 | 972,64 | 2013-M-01 - 2027-M-07 |
| 2021-M-02 | 794,91 | 2013-M-01 - 2027-M-07 |
| 2021-M-03 | 626,32 | 2013-M-01 - 2027-M-07 |
| 2021-M-04 | 1.354,08 | 2013-M-01 - 2027-M-07 |
| 2021-M-05 | 960,34 | 2013-M-01 - 2027-M-07 |
| 2021-M-06 | 1.050,87 | 2013-M-01 - 2027-M-07 |
| 2021-M-07 | 1.368,67 | 2013-M-01 - 2027-M-07 |
| 2021-M-08 | 715,52 | 2013-M-01 - 2027-M-07 |
| 2021-M-09 | 906,60 | 2013-M-01 - 2027-M-07 |
| 2021-M-10 | 1.714,36 | 2013-M-01 - 2027-M-07 |
| 2021-M-11 | 845,55 | 2013-M-01 - 2027-M-07 |
| 2021-M-12 | 342,74 | 2013-M-01 - 2027-M-07 |
| 2022-M-01 | 1.122,07 | 2013-M-01 - 2027-M-07 |
| 2022-M-02 | 998,87 | 2013-M-01 - 2027-M-07 |
| 2022-M-03 | 1.094,29 | 2013-M-01 - 2027-M-07 |
| 2022-M-04 | 1.782,81 | 2013-M-01 - 2027-M-07 |
| 2022-M-05 | 1.152,66 | 2013-M-01 - 2027-M-07 |
| 2022-M-06 | 1.465,40 | 2013-M-01 - 2027-M-07 |
| 2022-M-07 | 1.153,82 | 2013-M-01 - 2027-M-07 |
| 2022-M-08 | 715,73 | 2013-M-01 - 2027-M-07 |
| 2022-M-09 | 1.220,73 | 2013-M-01 - 2027-M-07 |
| 2022-M-10 | 1.251,64 | 2013-M-01 - 2027-M-07 |
| 2022-M-11 | 1.145,54 | 2013-M-01 - 2027-M-07 |
| 2022-M-12 | 641,04 | 2013-M-01 - 2027-M-07 |
| 2023-M-01 | 1.760,14 | 2013-M-01 - 2027-M-07 |
| 2023-M-02 | 1.391,54 | 2013-M-01 - 2027-M-07 |
| 2023-M-03 | 1.299,73 | 2013-M-01 - 2027-M-07 |
| 2023-M-04 | 1.208,03 | 2013-M-01 - 2027-M-07 |
| 2023-M-05 | 1.455,61 | 2013-M-01 - 2027-M-07 |
| 2023-M-06 | 1.709,95 | 2013-M-01 - 2027-M-07 |
| 2023-M-07 | 1.772,09 | 2013-M-01 - 2027-M-07 |
| 2023-M-08 | 785,81 | 2013-M-01 - 2027-M-07 |
| 2023-M-09 | 1.192,25 | 2013-M-01 - 2027-M-07 |
| 2023-M-10 | 1.318,84 | 2013-M-01 - 2027-M-07 |
| 2023-M-11 | 1.300,22 | 2013-M-01 - 2027-M-07 |
| 2023-M-12 | 968,88 | 2013-M-01 - 2027-M-07 |
| 2024-M-01 | 1.171,58 | 2013-M-01 - 2027-M-07 |
| 2024-M-02 | 1.322,96 | 2013-M-01 - 2027-M-07 |
| 2024-M-03 | 1.704,62 | 2013-M-01 - 2027-M-07 |
| 2024-M-04 | 1.106,85 | 2013-M-01 - 2027-M-07 |
| 2024-M-05 | 1.175,84 | 2013-M-01 - 2027-M-07 |
| 2024-M-06 | 992,51 | 2013-M-01 - 2027-M-07 |
| 2024-M-07 | 1.683,07 | 2013-M-01 - 2027-M-07 |
| 2024-M-08 | 784,02 | 2013-M-01 - 2027-M-07 |
| 2024-M-09 | 1.120,91 | 2013-M-01 - 2027-M-07 |
| 2024-M-10 | 2.104,99 | 2013-M-01 - 2027-M-07 |
| 2024-M-11 | 1.575,64 | 2013-M-01 - 2027-M-07 |
| 2024-M-12 | 1.249,25 | 2013-M-01 - 2027-M-07 |
| 2025-M-01 | 1.159,43 | 2013-M-01 - 2027-M-07 |
| 2025-M-02 | 1.192,28 | 2013-M-01 - 2027-M-07 |
| 2025-M-03 | 1.200,01 | 2013-M-01 - 2027-M-07 |
| 2025-M-04 | 1.456,41 | 2013-M-01 - 2027-M-07 |
| 2025-M-05 | 1.685,09 | 2013-M-01 - 2027-M-07 |
| 2025-M-06 | 1.718,06 | 2013-M-01 - 2027-M-07 |
| 2025-M-07 | 1.218,01 | 2013-M-01 - 2027-M-07 |
| 2025-M-08 | 1.518,50 | 2013-M-01 - 2027-M-07 |
| 2025-M-09 | 1.835,71 | 2013-M-01 - 2027-M-07 |
| 2025-M-10 | 1.228,83 | 2013-M-01 - 2027-M-07 |
| 2025-M-11 | 1.245,87 | 2013-M-01 - 2027-M-07 |
| 2025-M-12 | 251,77 | 2013-M-01 - 2027-M-07 |
| 2026-M-01 | 578,64 | 2013-M-01 - 2027-M-07 |
| 2026-M-02 | 464,80 | 2013-M-01 - 2027-M-07 |
| 2026-M-03 | 1.830,69 | 2013-M-01 - 2027-M-07 |
| 2026-M-04 | 555,02 | 2013-M-01 - 2027-M-07 |
| 2026-M-05 | 1.009,49 | 2013-M-01 - 2027-M-07 |
| 2026-M-06 | 623,74 | 2013-M-01 - 2027-M-07 |
| 2026-M-07 | 691,42 | 2013-M-01 - 2027-M-07 |
This dataset contains 121 data points spanning from 2016-M-07 to 2026-M-07.
Analysis dimensions: Selected Competitor, Trade Flow, Market, Product, Unit, Analysis.
Statistical summary: Minimum value 251.77, Maximum value 2,114.19, Average value 1,181.62.
The chart above illustrates a time series model generated by the Innomis Market Management Intelligence® platform.
It represents one of many analytic models and visualization options available in One Space®.
To discover how Innomis continuously delivers and transforms millions of data records into actionable intelligence — empowering faster understanding, better decisions, and stronger management actions — please contact us to schedule a personal demo.
- Solution
- Global Export Sales Intelligence
- Selected Competitor
- Switzerland
- Trade Flow
- Exports to
- Market
- South Europe
- Product
- Wood Processing Equipment
- Unit
- 1000 EUR
- Analysis
- Value (M)
- TIME (Displayed)
- 2016-M-07 - 2026-M-07
- TIME (Available)
- 2013-M-01 - 2027-M-07
Data Insights and Analysis
This comprehensive dataset spans 121 time periods from 2016-M-07 to 2026-M-07. The analysis reveals values ranging from 251.77 to 2,114.19, with an average value of 1,181.62.
The data shows an overall downward trend with a total change of -679.00 (49.5% decrease) over the analyzed period.
Key analytical dimensions include: Switzerland, Exports to, South Europe, Wood Processing Equipment, 1000 EUR, Trend + Forecast, Value (M). This multi-dimensional analysis provides comprehensive insights into the underlying data patterns and trends.