Ernst & Young Ltd performed a limited assurance engagement on selected EPIs marked with for 2023. Ernst & Young Ltd also performed a limited assurance engagement on the same set of KPIs (except water) for 2022, 2021 and 2020. On all EPIs related to previous years except for the greenhouse gas emissions, no external assurance was completed.
|
EPIs |
|
|
|
2019 |
|
2020 |
|
2021 |
|
2022 |
|
2023 |
|
Difference 2022/2023 |
|
Difference 2019/2023 |
|
GRI |
|
Energy |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
302-1 |
|
Total Energy |
|
MWh |
|
53 376 |
|
48 180 |
|
54 540 |
|
57 296 |
|
52 865 |
|
(8%) |
|
(1%) |
|
|
|
renewable |
|
% |
|
13% |
|
21% |
|
26% |
|
38% |
|
52% |
|
+14 |
|
+40 |
|
|
|
Purchased electricity |
|
MWh |
|
40 676 |
|
37 186 |
|
42 296 |
|
43 264 |
|
38 925 |
|
(10%) |
|
(4%) |
|
|
|
renewable |
|
% |
|
12% |
|
24% |
|
29% |
|
40% |
|
59% |
|
+20 |
|
+47 |
|
|
|
Purchased heat |
|
MWh |
|
3 334 |
|
2 831 |
|
3 324 |
|
3 211 |
|
3 238 |
|
+1% |
|
(3%) |
|
|
|
renewable |
|
% |
|
n/m |
|
n/m |
|
n/m |
|
n/m |
|
61% |
|
n/m |
|
n/m |
|
|
|
Self-generated electricity |
|
MWh |
|
76 |
|
78 |
|
66 |
|
1 780 |
|
2 022 |
|
+14% |
|
+2 567% |
|
|
|
renewable |
|
% |
|
100% |
|
100% |
|
100% |
|
100% |
|
100% |
|
+0 |
|
+0 |
|
|
|
Total fuel |
|
MWh |
|
9 290 |
|
8 084 |
|
8 854 |
|
9 042 |
|
8 680 |
|
(4%) |
|
(7%) |
|
|
|
renewable |
|
% |
|
2% |
|
3% |
|
2% |
|
6% |
|
6% |
|
+1 |
|
+4 |
|
|
|
Natural gas |
|
MWh |
|
5 805 |
|
5 236 |
|
5 564 |
|
5 471 |
|
3 271 |
|
(40%) |
|
(44%) |
|
|
|
Biogas |
|
% |
|
n/m |
|
n/m |
|
n/m |
|
6% |
|
15% |
|
+9 |
|
n/m |
|
|
|
Heating oil |
|
MWh |
|
1 181 |
|
1 327 |
|
1 637 |
|
1 847 |
|
3 663 |
|
+98% |
|
+210% |
|
|
|
Diesel |
|
MWh |
|
1 520 |
|
972 |
|
1 022 |
|
1 368 |
|
1 462 |
|
+7% |
|
(4%) |
|
|
|
Petrol |
|
MWh |
|
558 |
|
332 |
|
455 |
|
177 |
|
222 |
|
+25% |
|
(60%) |
|
|
|
Ethanol |
|
MWh |
|
18 |
|
n/m |
|
n/m |
|
n/m |
|
n/m |
|
|
|
|
|
|
|
Wood |
|
MWh |
|
208 |
|
217 |
|
177 |
|
178 |
|
62 |
|
(65%) |
|
(70%) |
|
|
|
Water |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
303-3 |
|
Total water |
|
m 3 |
|
1 127 378 |
|
915 933 |
|
979 079 |
|
925 796 |
|
677 027 |
|
(27%) |
|
(40%) |
|
|
|
Tap water |
|
m 3 |
|
81 521 |
|
64 299 |
|
70 498 |
|
72 420 |
|
70 207 |
|
(3%) |
|
(14%) |
|
|
|
other water (PL, CH) |
|
m 3 |
|
104 269 |
|
87 654 |
|
99 614 |
|
64 786 |
|
55 990 |
|
(14%) |
|
(46%) |
|
|
|
lake water (CH) |
|
m 3 |
|
941 588 |
|
763 980 |
|
808 967 |
|
788 590 |
|
550 830 |
|
(30%) |
|
(41%) |
|
|
|
Materials* |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
301-1 |
|
Total materials |
|
t |
|
17 517 |
|
17 374 |
|
21 544 |
|
27 783 |
|
26 865 |
|
(3%) |
|
+53% |
|
|
|
renewable (cardboard and wood) |
|
% |
|
13% |
|
18% |
|
16% |
|
11% |
|
11% |
|
+0 |
|
(3) |
|
|
|
VOC |
|
kg |
|
14 542 |
|
15 563 |
|
13 846 |
|
17 056 |
|
15 505 |
|
(9%) |
|
+7% |
|
|
|
SF6 |
|
kg |
|
36 |
|
27 |
|
46 |
|
14 |
|
14 |
|
(3%) |
|
(62%) |
|
|
|
Refrigerant |
|
kg |
|
334 |
|
264 |
|
305 |
|
611 |
|
377 |
|
(38%) |
|
+13% |
|
|
|
Copper |
|
t |
|
8 360 |
|
7 569 |
|
8 715 |
|
8 159 |
|
7 404 |
|
(9%) |
|
(11%) |
|
|
|
Plastics |
|
t |
|
5 134 |
|
4 860 |
|
6 179 |
|
5 489 |
|
4 278 |
|
(22%) |
|
(17%) |
|
|
|
Glass fibre** |
|
t |
|
37 |
|
23 |
|
239 |
|
223 |
|
146 |
|
(34%) |
|
+293% |
|
|
|
Packaging |
|
t |
|
3 266 |
|
4 200 |
|
4 377 |
|
5 157 |
|
4 013 |
|
(22%) |
|
+23% |
|
|
|
renewable (cardboard and wood) |
|
% |
|
72% |
|
76% |
|
77% |
|
57% |
|
72% |
|
+15 |
|
+0 |
|
|
|
EPIs |
|
|
|
2019 |
|
2020 |
|
2021 |
|
2022 |
|
2023 |
|
Difference 2022/2023 |
|
Difference 2019/2023 |
|
GRI |
|
Waste |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
306-3 |
|
Total |
|
t |
|
4 604 |
|
3 941 |
|
5 285 |
|
4 449 |
|
4 221 |
|
(5%) |
|
(8%) |
|
|
|
Municipal waste (incinceration) |
|
t |
|
205 |
|
175 |
|
198 |
|
156 |
|
164 |
|
+5% |
|
(20%) |
|
|
|
Municipal waste (landfill) |
|
t |
|
234 |
|
170 |
|
189 |
|
194 |
|
197 |
|
+2% |
|
(16%) |
|
|
|
Inert waste (landfill CH) |
|
t |
|
11 |
|
2 |
|
5 |
|
0.3 |
|
7.9 |
|
+2 435% |
|
(31%) |
|
|
|
Hazardous waste |
|
t |
|
487 |
|
450 |
|
474 |
|
424 |
|
416 |
|
(2%) |
|
(14%) |
|
|
|
Waste (energy recovery) |
|
t |
|
665 |
|
576 |
|
648 |
|
632 |
|
661 |
|
+5% |
|
(1%) |
|
|
|
Recycling |
|
t |
|
3 001 |
|
2 568 |
|
3 772 |
|
3 043 |
|
2 775 |
|
(9%) |
|
(8%) |
|
|
|
Business travel*** |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Total**** |
|
Mio. km |
|
16 |
|
1.8 |
|
2.0 |
|
9.0 |
|
13.9 |
|
+55% |
|
(12%) |
|
|
|
Car (expenses, rented) |
|
% |
|
10% |
|
33% |
|
23% |
|
3% |
|
8% |
|
+4 |
|
(3) |
|
|
|
Aircraft |
|
% |
|
90% |
|
67% |
|
77% |
|
96% |
|
86% |
|
(9) |
|
(3) |
|
|
|
Product transport***** |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Total |
|
Mio. tkm |
|
90 |
|
76 |
|
94 |
|
101 |
|
67 |
|
(34%) |
|
(25%) |
|
|
|
Trucks |
|
% |
|
32% |
|
30% |
|
31% |
|
35% |
|
34% |
|
(1) |
|
+1 |
|
|
|
Sea freight |
|
% |
|
57% |
|
56% |
|
27% |
|
41% |
|
44% |
|
+3 |
|
(13) |
|
|
|
Air freight |
|
% |
|
11% |
|
13% |
|
32% |
|
21% |
|
23% |
|
+1 |
|
+11 |
|
|
|
Rail freight |
|
% |
|
n/m |
|
1% |
|
11% |
|
3% |
|
0% |
|
(3) |
|
+0 |
|
|
|
GHG emissions (CO2eq) |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
305-1,2,3 |
|
Scope 1 |
|
tCO2eq |
|
3 523 |
|
2 802 |
|
3 692 |
|
3 572 |
|
3 638 |
|
+2% |
|
+3% |
|
|
|
Scope 2 |
|
tCO2eq |
|
10 735 |
|
8 401 |
|
7 824 |
|
5 931 |
|
4 097 |
|
(31%) |
|
(62%) |
|
|
|
Scope 3 |
|
tCO2eq |
|
58 635 |
|
84 296 |
|
121 878 |
|
182 454 |
|
189 920 |
|
+4% |
|
+224% |
|
|
|
Environmental impact |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Core balance |
|
Mio. EP |
|
34 456 |
|
24 484 |
|
26 710 |
|
23 598 |
|
19 510 |
|
(17%) |
|
(43%) |
|
|
|
Total balance |
|
Mio. EP |
|
625 576 |
|
576 288 |
|
769 979 |
|
1 094 431 |
|
1 042 072 |
|
(5%) |
|
+67% |
|
|
|
References |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Added value |
|
Mio. CHF |
|
386 |
|
352 |
|
417 |
|
420 |
|
387 |
|
(8%) |
|
+0% |
|
|
* Breakdown only shows production-relevant raw material plus packaging material and does not add up to 100 %.
** Glass fiber plus aramid yarn, 2020 excluding Brazil
*** Business travel is included based on the transaction date, rather than the travel date. This differs from the approach used in 2022.
Breakdown excludes 6% train travel because of its limited environmental impact globally.
**** Excluding km own vehicles (included in fuels).
***** 2021 including transport (intercompany)
Environmental impact: all figures 2019 - 2021 calculated using ecoinvent database version v38, 2022 v391, 2023 v310
GHG emissions: values according to published GHG Inventories. Used ecoinvent database versions: 2019 v36, 2020 v371, 2021 v38, 2022 v391; based on IPCC2013 (2019 -2021) and IPCC2021 for 2022 and 2023.
Scope 1
Too low a value for Pfäffikon heating oil. Detected during data collection 2020 but not adjusted. Difference: +440 MWh resp. +120 t CO2eq
Scope 3
Packaging data CH: in 2020 also newly collected for 2019 but not adjusted. Difference: +2000 t CO2eq
Adjustments (as shown below) lead to significant increase in Scope 3 compared to previous year. However, the difference between the recalculated 2019 to 2020 total is < -1% despite the expansion of the corporate standard (see below). - ecoinvent v371 remodeled the metal sector strongly increasing the CO2 footprint of copper. - Expansion of the corporate standard and data collection (i.e. commuting and packaging data). As part of the expansion of Scope 3, data on commercial products, product use and EoL (end of life of products) will be included in the company model in the medium term. Furthermore, the existing data collection/quality will be continuously improved wherever possible.
In 2021, the system boundaries were expanded to include, for the first time, part of the commercial products purchased. The quality and the granularity of the collected goods transport data (transport to customers and within the production network) have been significantly improved. The same applies to metal and polymer data. In 2022 raw material and commercial goods data from new central data source, so the modelling could be extended and the data granularity and quality was further improved.