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| Download (EXCEL) |
| 31 March | 2017 | 2016 | 2015 | 2014 | 2013 | Compound growth % |
||||||
| South Africa | ||||||||||||
Revenue (Rm) |
64 729 | 62 279 | 59 203 | 59 314 | 56 821 | 3.3 | ||||||
EBITDA (Rm) |
26 815 | 25 016 | 22 837 | 23 087 | 22 408 | 4.6 | ||||||
Capital expenditure (Rm) |
8 471 | 8 747 | 8 646 | 6 858 | 6 967 | 5.0 | ||||||
EBITDA margin (%) |
41.4 | 40.2 | 38.6 | 38.9 | 39.4 | |||||||
Capex intensity (%) |
13.1 | 14.0 | 14.6 | 11.6 | 12.3 | |||||||
Customers1 |
37 131 | 34 178 | 32 115 | 31 520 | 29 190 | 6.2 | ||||||
Number of employees |
5 038 | 5 009 | 5 228 | 4 829 | 5 006 | 0.2 | ||||||
Total ARPU2 (rand per month) |
111 | 112 | 113 | 125 | 128 | (3.5) | ||||||
| International | ||||||||||||
Revenue (Rm) |
17 350 | 18 356 | 15 747 | 14 356 | 11 583 | 10.6 | ||||||
EBITDA (Rm) |
4 545 | 5 385 | 4 104 | 4 256 | 2 739 | 13.5 | ||||||
Capital expenditure (Rm) |
2 833 | 4 090 | 4 654 | 3 919 | 2 864 | (1.0) | ||||||
EBITDA margin (%) |
26.2 | 29.3 | 26.1 | 29.6 | 23.6 | |||||||
Capex intensity (%) |
16.3 | 22.3 | 29.6 | 27.3 | 24.7 | |||||||
Customers1 |
29 655 | 27 127 | 29 533 | 25 969 | 21 327 | 8.6 | ||||||
Number of employees |
2 351 | 2 338 | 2 372 | 2 210 | 2 115 | 2.7 | ||||||
| Total ARPU (rand per month)2 | ||||||||||||
Tanzania |
38 | 39 | 42 | 45 | 35 | 2.1 | ||||||
DRC |
49 | 42 | 32 | 35 | 33 | 10.4 | ||||||
Mozambique |
45 | 54 | 52 | 58 | 55 | (4.9) | ||||||
Lesotho |
61 | 62 | 53 | 46 | 53 | 3.6 | ||||||
| Total ARPU (local currency per month)2 | ||||||||||||
Tanzania (TZS) |
6 003 | 5 972 | 6 530 | 7 213 | 6 516 | (2.0) | ||||||
DRC (US$) |
3.5 | 3.0 | 2.9 | 3.4 | 3.8 | (2.0) | ||||||
Mozambique (MZN) |
216 | 169 | 149 | 172 | 186 | 3.8 |
| Notes: | |
| 1. | Customers are based on the total number of mobile customers using any service during the last three months. This includes customers paying a monthly fee that entitles them to use the service even if they do not actually use the service and those customers who are active while roaming. |
| 2. | Total ARPU is calculated by dividing the average monthly service revenue by the average monthly active customers during the period. |