Related by context. Frequent words. (Click for all words.) 58 Macroeconomic indicators 56 bln forints 55 Aurubis 55 Nominal GDP 55 H#/# [001] 54 Ebitda margin 54 Ecostat 54 STADA 53 EconMin 53 bn cu m 52 H#/# [002] 52 EUR#M [001] 52 zł.#.# [001] 52 Isarescu 52 Vosganian 52 adjusted Ebitda 51 PLN# [001] 51 conwert 51 Q#/# EUR [001] 51 Nabiullina 51 Ulyukayev 50 #.#mn tonnes [007] 50 zł.#.# billion 50 FeCr 50 fcast 50 HUF #.#bn [003] 50 CHF#m [002] 50 exportable surplus 50 zł.#.# [004] 50 RWE Transgas 50 Guar gum 50 EBIDTA margins 50 Currency fluctuations 50 Videanu 49 EBIDTA margin 49 Order backlogs 49 acquisitions divestments 49 z ³ .#.# [002] 49 PLN #m [002] 49 Poland PKN Orlen 49 prev. 49 CHF#.# [001] 49 Medvedkov 49 Klepach 49 #.#bln [002] 49 #.# bln skr [002] 49 Rupee appreciation 49 EBITA margin 49 GDP 49 GRMs 49 #.#bn rub [002] 49 Kc# [002] 48 Q#CY# 48 Krizanic 48 #.#mln [004] 48 Jelasic 48 zł.#.# [005] 48 ay y basis 48 Vladescu 48 Bcm 48 Producer Prices 48 #H# [001] 48 FY#e 48 #.#-#.# bln [006] 48 Mynbayev 48 Turnover amounted 48 EBITDA margin 47 Dyckerhoff 47 Kc#bn [001] 47 EBIT margin 47 #.# bn [002] 47 #.#-#.# usd [002] 47 H1 FY# [002] 47 PLN #m [001] 47 revise downwards 47 CZK #.#bn [002] 47 broiler meat 47 Chemicals Segment 47 ELMOS 47 EUR#.#B [001] 47 FY#/# [004] 47 EUR#.#M [002] 47 #.#pps [002] 47 #.#mn tonnes [003] 47 USD #.#mn [001] 47 opg 47 Yoshiki Shinke senior 47 DATAWATCH 46 EUR#.#B [003] 46 #.#bcm [001] 46 Fontenla Novoa 46 #.#mn tons [002] 46 EUR#.#b 46 ElringKlinger 46 mmt 46 EURO CDS 46 Rupee weakens 46 Ebita 46 #.#mn tonnes [001] 46 Novogyne 46 #.#bln [001]