If you have lots of columns and only one is different you could do:
In[1]: grouper = df.groupby('Company Name')
In[2]: res = grouper.count()
In[3]: res['Amount'] = grouper.Amount.sum()
In[4]: res
Out[4]:
Organisation Name Amount
Company Name
Vifor Pharma UK Ltd 5 4207.93
Note you can then rename the Organisation Name column as you wish.