First, the column with dates needs to be filled up, no empty lines, and the date should include the year as well. I don't know how you got your data, so doing that computationally might need some tinkering, but it shouldn't be that hard. I did it manually in this case:
> df
       Periodo     Grupo Formacion En.consolidacion Consolidado
1 Ene-Abr.2009      Meta        40               30          30
2 Ene-Abr.2009 Realizado        35               45          20
3 May-Ago.2009      Meta        35               35          30
4 May-Ago.2009 Realizado        34               45          20
5 Sep-Dic.2009      Meta        30               30          40
6 Sep-Dic.2009 Realizado        20               40          20
(Instead of spaces, I used dots in variable's names.) After that, it's easy using melt() from theplyr package and facet_wrap:
library(ggplot2)
library(plyr)
m=melt(df)
ggplot(m,aes(x=factor(Grupo),y=value,fill=factor(variable))) + 
  geom_bar(position="fill", stat="identity") +
  scale_y_continuous(labels  = percent, 
                     breaks=c(0.2,0.4,0.6,0.8,1)) + # you can set the breaks to whatever you want
  facet_wrap(~ Periodo)
Is this what you want?

Here is your (edited) data:
df = structure(list(Periodo = structure(c(1L, 1L, 2L, 2L, 3L, 3L), .Label = c("Ene-Abr.2009", 
"May-Ago.2009", "Sep-Dic.2009"), class = "factor"), Grupo = structure(c(1L, 
2L, 1L, 2L, 1L, 2L), .Label = c("Meta", "Realizado"), class = "factor"), 
    Formacion = c(40L, 35L, 35L, 34L, 30L, 20L), En.consolidacion = c(30L, 
    45L, 35L, 45L, 30L, 40L), Consolidado = c(30L, 20L, 30L, 
    20L, 40L, 20L)), .Names = c("Periodo", "Grupo", "Formacion", 
"En.consolidacion", "Consolidado"), class = "data.frame", row.names = c(NA, 
-6L))