{"slug":"ibm-dividend-2026","qid":"history_years","label":"history_years","post_title":"ibm-dividend-2026","post_url":"/blog/lang/de/ibm-dividend-2026#q-history_years","columns":["year","quartalsrate_usd","jahressumme_usd","zahltage"],"rows":[{"year":2011,"quartalsrate_usd":0.75,"jahressumme_usd":2.9,"zahltage":"10.03. | 10.06. | 10.09. | 10.12."},{"year":2012,"quartalsrate_usd":0.85,"jahressumme_usd":3.3,"zahltage":"10.03. | 09.06. | 10.09. | 10.12."},{"year":2013,"quartalsrate_usd":0.95,"jahressumme_usd":3.7,"zahltage":"09.03. | 10.06. | 10.09. | 10.12."},{"year":2014,"quartalsrate_usd":1.1,"jahressumme_usd":4.25,"zahltage":"10.03. | 10.06. | 10.09. | 10.12."},{"year":2015,"quartalsrate_usd":1.3,"jahressumme_usd":5,"zahltage":"10.03. | 10.06. | 10.09. | 10.12."},{"year":2016,"quartalsrate_usd":1.4,"jahressumme_usd":5.5,"zahltage":"10.03. | 10.06. | 10.09. | 10.12."},{"year":2017,"quartalsrate_usd":1.5,"jahressumme_usd":5.9,"zahltage":"10.03. | 10.06. | 09.09. | 09.12."},{"year":2018,"quartalsrate_usd":1.57,"jahressumme_usd":6.21,"zahltage":"10.03. | 09.06. | 10.09. | 10.12."},{"year":2019,"quartalsrate_usd":1.62,"jahressumme_usd":6.43,"zahltage":"09.03. | 10.06. | 10.09. | 10.12."},{"year":2020,"quartalsrate_usd":1.63,"jahressumme_usd":6.51,"zahltage":"10.03. | 10.06. | 10.09. | 10.12."},{"year":2021,"quartalsrate_usd":1.64,"jahressumme_usd":6.55,"zahltage":"10.03. | 10.06. | 10.09. | 10.12."},{"year":2022,"quartalsrate_usd":1.65,"jahressumme_usd":6.59,"zahltage":"10.03. | 10.06. | 10.09. | 10.12."},{"year":2023,"quartalsrate_usd":1.66,"jahressumme_usd":6.63,"zahltage":"10.03. | 10.06. | 09.09. | 09.12."},{"year":2024,"quartalsrate_usd":1.67,"jahressumme_usd":6.67,"zahltage":"09.03. | 10.06. | 10.09. | 10.12."},{"year":2025,"quartalsrate_usd":1.68,"jahressumme_usd":6.71,"zahltage":"10.03. | 10.06. | 10.09. | 10.12."}],"shape":"ranking","sql":"SELECT\n    toYear(ex_dividend_date)                    AS year,\n    round(toFloat64(max(cash_usd)), 2)          AS quartalsrate_usd,\n    round(toFloat64(sum(cash_usd)), 2)          AS jahressumme_usd,\n    arrayStringConcat(\n        arrayMap(d -> formatDateTime(d, '%d.%m.'), arraySort(groupArray(zahl_datum))),\n        ' | ')                                  AS zahltage\nFROM\n(\n    SELECT\n        ex_dividend_date,\n        any(pay_date)    AS zahl_datum,\n        max(cash_amount) AS cash_usd\n    FROM global_markets.stocks_dividends\n    WHERE ticker = 'IBM'\n      AND toYear(ex_dividend_date) >= toYear(today()) - 15\n      AND toYear(ex_dividend_date) <  toYear(today())\n    GROUP BY ex_dividend_date\n)\nGROUP BY year\nORDER BY year","computed_at":"2026-10-24T21:32:09.201951+00:00","elapsed":0.119260481}