ESG Performance Data
Environmental
Management
2015 | 2016 | 2017 | 2018 | 2019 | 2020 | |
---|---|---|---|---|---|---|
Group companies with ISO 14001 certification | 2 | 2 | 2 | 2 | 2 | 5 |
Group companies performing environmental audit (internal audit) | 3 | 3 | 3 | 3 | 3 | 5 |
Group companies performing environmental audit (external audit)*1 | 3 | 3 | 3 | 3 | 3 | 5 |
Group companies performing environmental audit (audit by H.U. Group)*2 | 23 | 20 | 19 | 17 | 16 | 7 |
Employees receiving environmental training*3 | 5,727※4 | 5,692 | 6,030 | 6,069 | 5,953 | 5,783 |
Violations of environmental laws or regulations | 0 | 0 | 0 | 0 | 0 | 0 |
- Both internal and external audits performed at SRL and Fujirebio (ALSI)
- Audit of waste disposal contractors and environmental measurement contractors of Fujirebio
- Total number of employees receiving group-wide environmental training
- For SRL, average from April to December
Climate change
Unit | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | |||
---|---|---|---|---|---|---|---|---|---|
GHG emissions*1 |
Scope 1 | t-CO2 | 9,453 | 9,141 | 11,221 | 10,712 | 11,162 | 13,199 | |
Scope 2 | t-CO2 | 23,464 | 22,217 | 24,912 | 22,822 | 22,088 | 26,295 | ||
Scope 3*2 | Purchased goods and services | t-CO2 | 104,676 | 93,037 | 112,020 | 113,338 | 121,808 | 143,017 | |
Capital Goods | t-CO2 | 33,937 | 7,794 | 48,567 | 57,765 | 32,303 | 64,805 | ||
Fuel-and-energy-related activities (not included in scope 1 or scope 2) |
t-CO2 | 5,359 | 7,128 | ||||||
Transportation and delivery (upstream) |
t-CO2 | 139,600 | 101,688 | 157,605 | 167,141 | 153,176 | 203,502 | ||
Waste generated in operations | t-CO2 | 3,255 | 3,519 | 3,581 | 3,749 | 4,168 | 3,408 | ||
Business travel | t-CO2 | 747 | 740 | 1,566 | 1,612 | 1,625 | 1,706 | ||
Employee commuting (including commuting by car) |
t-CO2 | 1,120 | 1,063 | 2,548 | 2,590 | 3,940 | 4,562 | ||
Upstream leased assets | t-CO2 | - | - | - | - | - | - | ||
Transportation and delivery (downstream) *2 |
t-CO2 | - | - | - | - | - | - | ||
Processing of Sold Products | t-CO2 | - | - | - | - | - | - | ||
Use of sold products*2 | t-CO2 | 2,929 | 2,810 | 2,598 | 2,676 | 2,001 | 2,487 | ||
End-of-Life Treatment of Sold Products | t-CO2 | 931 | 854 | 885 | 834 | 759 | 834 | ||
Leased assets (downstream) | t-CO2 | 5,565 | 4,317 | 5,306 | 5,219 | 6,264 | 6,997 | ||
Franchises | t-CO2 | - | - | - | - | - | - | ||
Investments | t-CO2 | - | - | - | - | - | - | ||
Total | t-CO2 | 292,760 | 215,822 | 334,676 | 354,925 | 331,403 | 438,560 | ||
CO2 emissions | Scope 1+2 | t-CO2 | 32,917 | 31,358 | 36,133 | 33,534 | 33,250 | 39,494 | |
CO2 emission intensity | Scope 1+2 | t-CO2 / ¥100 million (sales) |
26.0 | 25.0 | 23.3 | 21.0 | 19.9 | 17.4 | |
CH4 emissions | t-CO2 | 0 | 0 | 0 | 0 | 0 | 0 | ||
N2O emissions | t-CO2 | 0 | 0 | 0 | 0 | 0 | 0 | ||
HFCs emissions | t-CO2 | 0 | 0 | 0 | 0 | 0 | 0 | ||
PFCs emissions | t-CO2 | 0 | 0 | 0 | 0 | 0 | 0 | ||
SF6 emissions | t-CO2 | 0 | 0 | 0 | 0 | 0 | 0 | ||
Other emissions | t-CO2 | 0 | 0 | 0 | 0 | 0 | 0 | ||
NOx emissions*3 | t | ||||||||
SOx emissions*3 | t | ||||||||
VOC emissions*3 | t | ||||||||
Emissions of ozone-depleting substances (ODS)*4 | |||||||||
Energy use (intensity) | GJ / ¥100 million (sales) |
461 | 472 | 447 | 414 | 402 | 371 | ||
Consumption rate by energy type*5 | Renewables (converted to crude oil or calories) |
% | 0 | 0 | 0 | 0 | 0 | 0 | |
Fuel | % | 26 | 26 | 28 | 28 | 28 | 26 | ||
Electricity | % | 74 | 74 | 72 | 72 | 72 | 74 | ||
Carbon offset*3 | |||||||||
Energy Use*5 | Electricity | GJ | 441,515 | 436,526 | 501,821 | 481,095 | 484,820 | 620,826 | |
City gas | GJ | 62,478 | 80,226 | 91,220 | 82,499 | 82,053 | 85,691 | ||
LPG (propane gas) | GJ | 59 | 55 | 2,373 | 2,304 | 2,921 | 12,434 | ||
Gasoline | GJ | 70,458 | 66,063 | 66,063 | 86,654 | 92,596 | 111,830 | ||
Kerosene | GJ | 7,325 | 8,089 | 7,380 | 6,491 | 7,222 | 8,432 | ||
Heavy oil | GJ | 704 | 665 | 2,620 | 2,647 | 2,522 | 1,781 | ||
Light oil | GJ | 189 | 98 | 98 | 191 | ||||
Renewable energy | GJ | 0 | 0 | 0 | 0 | 0 | 0 | ||
Total | GJ | 582,539 | 591,624 | 692,643 | 661,788 | 672,231 | 841,186 | ||
CDP climate change score*6 | F | F | F | F | C | C |
- Based on Japan’s Ministry of the Environment’s emission source unit database (ver. 2.5) for calculating green gas emissions through the supply chain (March 2018)
- Based on Scope3 Items of GHG Protocol, we calculate the items targeted.)
- Data currently unavailable
- Not used
- Calculated as a crude oil conversion value
- Answered for the first time in FY 2019
Waste
Units | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | ||
---|---|---|---|---|---|---|---|---|
Waste output per sales*1・2 | t / ¥100 million (sales) | 1.8 | 1.8 | 2.2 | 2.2 | 2.1 | 1.5 | |
Amount of waste generated*1 | t | 2,288 | 2,307 | 3,467 | 3,581 | 3,494 | 3,452 | |
Breakdown of waste generated*1 | General waste | t | 473 | 366 | 665 | 632 | 654 | 603 |
Industrial waste | t | 1,070 | 1,127 | 2,016 | 2,105 | 1,866 | 1,630 | |
Specially controlled industrial waste | t | 745 | 814 | 786 | 844 | 973 | 1,220 | |
Waste Plastic Recycling*1 | % | - | - | 66 | 68 | 71 | 74 | |
Emissions of PRTR Law Class I Designated Chemical Substances*1・3 | t | 3.6 | 4.2 | 3.9 | 3.0 | 3.9 | 0.9 |
- Item specialized in Japan
- Divided by sales amount
- For Fujirebio
Water
Units | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | |
---|---|---|---|---|---|---|---|
Water intake*1 | Thousand m3 | 229 | 223 | 392 | 374 | 399 | 392 |
Water discharge*1 | Thousand m3 | 219 | 213 | 383 | 367 | 375 | 357 |
Water discharge per sales unit*1・2 | Thousand m3 / ¥100 million (sales) |
0.17 | 0.17 | 0.25 | 0.23 | 0.22 | 0.16 |
COD (chemical oxygen demand)*1・3 | t | 0.2 | 0.3 | 0.4 | 0.4 | 0.5 | 0.4 |
- Item specialized in Japan
- Divided by sales amount
- Total for Fujirebio only
Social
Customers
2015 | 2016 | 2017 | 2018 | 2019 | 2020 | ||
---|---|---|---|---|---|---|---|
Rate of participation in control survey and quality control reporting at medical institutions using the LUMIPULSE system | 91% | 89% | 85% | 90% | 88% | 93% | |
Number of voluntarily recall incidents | In Vitro Diagnostics business*1 | 0 | 1 | 0 | 0 | 0 | 0 |
Number of serious nonconformities | In Vitro Diagnostics business*1 | 0 | 1 | 0 | 0 | 0 | 0 |
Clinical Laboratory Testing business*2 | 1 | 1 | 1 | 1 | 0 | 1 |
- Voluntary recall incidents defined as serious nonconformities
- Cases requiring administrative response
Business partners
2015 | 2016 | 2017 | 2018 | 2019 | 2020 | |
---|---|---|---|---|---|---|
Number of suppliers performing risk assessment*1 | 89 | 33 | ||||
Percentage of suppliers performing risk assessment*1 | 100% | 54.1% | ||||
Reported cases of child labor at suppliers | 0 | 0 | 0 | 0 | 0 | 0 |
Reported cases of forced labor at suppliers | 0 | 0 | 0 | 0 | 0 | 0 |
- Suppliers at 80% sales coverage of each of the applicable range
Employees*1
2015 | 2016 | 2017 | 2018 | 2019 | 2020 | ||
---|---|---|---|---|---|---|---|
Number of employees | Regular employees (female) | 1,034 | 1,039 | 1,245 | 1,260 | 1,940 | 2,306 |
Regular employees (male) | 1,618 | 1,562 | 1,844 | 1,975 | 2,261 | 2,441 | |
Managers (female)*2 | 23 | 21 | 50 | 66 | 74 | 111 | |
Managers (male)*2 | 237 | 215 | 334 | 401 | 458 | 548 | |
Directors and Officers | 26 | 20 | 20 | 22 | 33 | 50 | |
Number of employees by area | Japan (female) | 1,056 | 1,059 | 1,294 | 1,326 | 2,013 | 2,114 |
Japan (male) | 1,846 | 1,766 | 2,169 | 1,966 | 2,713 | 2,734 | |
Asia (female) | 1 | 1 | 1 | 1 | 1 | 0 | |
Asia (male) | 6 | 6 | 4 | 5 | 5 | 2 | |
North America (female) | 0 | 0 | 0 | 0 | 0 | 200 | |
North America (male) | 3 | 3 | 4 | 1 | 1 | 177 | |
Europe (female) | 0 | 0 | 0 | 0 | 0 | 107 | |
Europe (male) | 0 | 2 | 1 | 1 | 0 | 81 | |
Average age | 43.9 | 44.6 | 42.9 | 42.5 | 40.0 | 41.2 | |
Number of employees of new graduates | Male | 10 | 21 | 25 | 59 | 41 | 60 |
Female | 16 | 32 | 34 | 99 | 95 | 108 | |
Number of new recruits of mid-career employment | Male | 214 | 78 | ||||
Female | 125 | 67 | |||||
Percentage of female new recruits incl. mid-career employment | 48.4% | 40.5% | 43.4% | 49.1% | 46.3% | 55.9% | |
Average employment year | Male | 14.2 | 14.3 | 13.0 | 13.5 | ||
Female | 10.6 | 11.1 | 10.0 | 11.2 | |||
Percentage difference | 3.6 | 3.2 | 3.0 | 2.3 | |||
Annual working hours per employee | 2,054 | 2,001 | 2,015 | 2,034 | 2,008 | 1,974 | |
Average days of paid leave taken | 8 | 8 | 7 | 8 | 12 | 11 | |
Average rate of paid leave taken | 42.5% | 44.5% | 43.4% | 44.0% | 60.1% | 54.6% | |
Work-related deaths | 0 | 0 | 0 | 0 | 0 | 0 | |
Lost time injury frequency rate*3 | 0.19% | 0.35% | 0.27% | 1.68% | 1.48% | ||
Percentage of female managers*2 | 16.8% | ||||||
Japan | 9.4% | 10.0% | 11.8% | 14.1% | 14.2% | 13.4% | |
Average years of employment (years / employee)*3 | 16.7 | 17.2 | 16.5 | 13.0 | 12.0 | 12.8 | |
Under age 30 | 2.5 | 2.7 | 2.7 | 1.6 | 2.0 | 3.2 | |
Age 30 to 50 | 14.6 | 14.9 | 15.0 | 10.7 | 10.0 | 11.6 | |
Age 50 and over | 24.4 | 24.5 | 24.7 | 23.2 | 22.0 | 22.8 | |
Employees with disabilities | 181 | ||||||
Japan | 75 | 77 | 67 | 66 | 161 | 179 | |
Percentage of employees with disabilities | 2.20% | ||||||
Japan | 2.20% | 2.20% | 2.01% | 1.97% | 1.86% | 2.30% | |
Foreign-national employees | 10 | 10 | 14 | 16 | 13 | 25 | |
Employees taking parental leave (including paternity leave) | 234 | ||||||
Japan | 43 | 66 | 66 | 84 | 173 | 219 | |
Percentage of employees taking parental leave (including paternity leave)*3 | 95.3% | 98.1% | 98.1% | 100% | 100% | 100% | |
Percentage of employees returning to work after maternity / parental leave | 97.2% | 100% | 100% | 90.6% | 97.0% | 97.9% | |
Employees taking family care leave (short term)*3 | 10 | 36 | 24 | 21 | 3 | 2 | |
Employees taking family care leave (long term)*3 | 1 | 2 | 3 | 3 | 3 | 5 | |
Average annual salary of employees*3 | 7,679,456 | 7,307,152 | 7,387,697 | 6,791,909 | 5,713,090 | 5,902,994 | |
Employee turnover rate*3 | 5.3% | 5.7% | 6.2% | 5.0% | 6.1% | 9.7% | |
Percentage of employees undergoing medical checkup*3 | 94.3% | 94.4% | 92.7% | 94.9% | 92.3% | 92.4% | |
Total annual training time for all employees*3 | 40,722 | 37,864 | 113,383 | ||||
Average annual training time per employee*3 | 11 | 8 | 23 | ||||
Employees passing DMR qualification exam*3 | 5 | 1 | 7 | 28 | 28 | 6 | |
Number of DMR*3 | 195 | ||||||
Number of medical technologists*3 | 1,176 | ||||||
Participants in human error prevention courses*3 | 35 | 32 | 44 | 41 | 75 | 72 | |
Average monthly overtime hours | 19.5 | 17.8 | 21.5 | 19.0 | 21.0 | 16.9 |
- Full-time employees
- Managers & above
- Item specialized in Japan
Community
2015 | 2016 | 2017 | 2018 | 2019 | 2020 | ||
---|---|---|---|---|---|---|---|
Charitable trust fund*1 | Research subsidies (JPY) |
209,800,000 | 214,800,000 | 219,800,000 | 224,800,000 | 229,800,000 | 234,100,000 |
Koichiro Fujita Award (JPY) |
6,000,000 | 6,500,000 | 7,000,000 | 7,500,000 | 8,000,000 | 8,500,000 | |
Nozomu Kosakai Award (JPY) |
13,000,000 | 13,500,000 | 14,000,000 | 14,500,000 | 15,000,000 | 15,500,000 |
- Cumulative amount for each category
Shareholders
2015 | 2016 | 2017 | 2018 | 2019 | 2020 | |
---|---|---|---|---|---|---|
Shareholder / investor Engagement | 292 | 325 | 303 | 219 | 159 | 122 |
Governance
Compliance
2015 | 2016 | 2017 | 2018 | 2019 | 2020 | |
---|---|---|---|---|---|---|
Violations of anti-corruption policies and procedures | 0 | 0 | 0 | 0 | 0 | 0 |
Fines for violations stated above | 0 | 0 | 0 | 0 | 0 | 0 |
Percentage of employees taking compliance comprehension test | 97.3% | 99.0% | 95.4% | 94.5% | 86.6% | |
Cases reported to H.U. Group Hotline | 36 | 59 | 104 | 109 | 125 | 134 |
Applicable range/period
Applicable range |
Environment: Social: Governance: * H.U. Group Holdings, Inc., SRL, Inc. and Fujirebio, Inc. (Except where noted) |
---|---|
Period | Those figures are calculated based on our fiscal year. (April 1 to March 31 of the following year) (Except where noted) |