ESG Performance Data
Environmental
Management
2015 | 2016 | 2017 | 2018 | 2019 | |
---|---|---|---|---|---|
Group companies with ISO 14001 certification | 2 | 2 | 2 | 2 | 2 |
Group companies performing environmental audit (internal audit) | 3 | 3 | 3 | 3 | 3 |
Group companies performing environmental audit (external audit)*1 | 3 | 3 | 3 | 3 | 3 |
Group companies performing environmental audit (audit by H.U. Group)*2 | 23 | 20 | 19 | 17 | 16 |
Employees receiving environmental training*3 | 5,727※4 | 5,692 | 6,030 | 6,069 | 5,953 |
Violations of environmental laws or regulations | 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 | |||
---|---|---|---|---|---|---|---|---|
GHG emissions*1 |
Scope 1 | t-CO2 | 9,453 | 9,141 | 11,221 | 10,712 | 11,162 | |
Scope 2 | t-CO2 | 23,464 | 22,217 | 24,912 | 22,822 | 22,088 | ||
Scope 3*2 | Purchased goods and services | t-CO2 | 104,676 | 93,037 | 112,020 | 113,338 | 121,808 | |
Capital Goods | t-CO2 | 33,937 | 7,794 | 48,567 | 57,765 | 32,303 | ||
Fuel-and-energy-related activities (not included in scope 1 or scope 2) |
t-CO2 | 5,359 | ||||||
Transportation and delivery (upstream) |
t-CO2 | 139,600 | 101,688 | 157,605 | 167,141 | 153,176 | ||
Waste generated in operations | t-CO2 | 3,255 | 3,519 | 3,581 | 3,749 | 4,168 | ||
Business travel | t-CO2 | 747 | 740 | 1,566 | 1,612 | 1,625 | ||
Employee commuting (including commuting by car) |
t-CO2 | 1,120 | 1,063 | 2,548 | 2,590 | 3,940 | ||
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 | ||
End-of-Life Treatment of Sold Products | t-CO2 | 931 | 854 | 885 | 834 | 759 | ||
Leased assets (downstream) | t-CO2 | 5,565 | 4,317 | 5,306 | 5,219 | 6,264 | ||
Franchises | t-CO2 | - | - | - | - | - | ||
Investments | t-CO2 | - | - | - | - | - | ||
Total | t-CO2 | 292,760 | 215,822 | 334,676 | 354,925 | 331,403 | ||
CO2 emissions | Scope 1+2 | t-CO2 | 32,917 | 31,358 | 36,133 | 33,534 | 33,250 | |
CO2 emission intensity | Scope 1+2 | t-CO2 / ¥100 million (sales) |
26.0 | 25.0 | 23.3 | 21.0 | 19.9 | |
NOx emissions*3 | t | |||||||
SOx emissions*3 | t | |||||||
VOC emissions*3 | t | |||||||
Emissions of ozone-depleting substances (ODS)*4 | ||||||||
Energy intensity (converted to crude oil) | kL / ¥100 million (sales) |
12.1 | 12.2 | 11.5 | 10.7 | 10.2 | ||
Consumption rate by energy type*5 | Renewables (converted to crude oil or calories) |
% | 0 | 0 | 0 | 0 | 0 | |
Fuel | % | 26 | 26 | 28 | 28 | 28 | ||
Electricity | % | 74 | 74 | 72 | 72 | 72 | ||
Carbon offset*3 | ||||||||
Energy Use*5 | Electricity | kL (converted to crude oil) |
11,282 | 11,246 | 12,901 | 12,363 | 12,170 | |
City gas | kL (converted to crude oil) |
1,613 | 2,070 | 2,335 | 2,176 | 2,097 | ||
LPG (propane gas) | kL (converted to crude oil) |
456 | 1 | 60 | 59 | 74 | ||
Gasoline | kL (converted to crude oil) |
1,781 | 1,704 | 2,246 | 2,235 | 2,391 | ||
Kerosene | kL (converted to crude oil) |
177 | 209 | 190 | 167 | 187 | ||
Heavy oil | kL (converted to crude oil) |
21 | 17 | 68 | 68 | 65 | ||
Light oil | kL (converted to crude oil) |
5 | 3 | 3 | ||||
Renewable energy | 0 | 0 | 0 | 0 | 0 | |||
Total | 15,330 | 15,248 | 17,805 | 17,072 | 16,987 | |||
CDP climate change score*6 | F | F | F | F | 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 | ||
---|---|---|---|---|---|---|---|
Waste output per sales*1 | t / ¥100 million (sales) | 1.8 | 1.8 | 2.2 | 2.2 | 2.1 | |
Amount of waste generated | t | 2,288 | 2,307 | 3,467 | 3,581 | 3,494 | |
Breakdown of waste generated | General waste | t | 473 | 366 | 665 | 632 | 654 |
Industrial waste | t | 1,070 | 1,127 | 2,016 | 2,105 | 1,866 | |
Specially controlled industrial waste | t | 745 | 814 | 786 | 844 | 973 | |
Recycling rate*2 | % | 97.0 | 90.7 | 84.0 | 83.0 | 86.0 | |
Emissions of PRTR Law Class I Designated Chemical Substances*3 | t | 3.6 | 4.2 | 3.9 | 3.0 | 3.9 |
- Divided by sales amount
- For Fujirebio and Care'x
- For Fujirebio
Water
Units | 2015 | 2016 | 2017 | 2018 | 2019 | |
---|---|---|---|---|---|---|
Water used | Thousand m3 | 229 | 223 | 392 | 374 | 399 |
Waste water | Thousand m3 | 219 | 213 | 383 | 367 | 375 |
Waste water per sales*1 | Thousand m3 / ¥100 million (sales) |
0.17 | 0.17 | 0.25 | 0.23 | 0.22 |
COD (chemical oxygen demand)*2 | t | 0.2 | 0.3 | 0.4 | 0.4 | 0.5 |
- Divided by sales amount
- Total for Fujirebio only
Social
Customers
2015 | 2016 | 2017 | 2018 | 2019 | ||
---|---|---|---|---|---|---|
Rate of participation in control survey and quality control reporting at medical institutions using the LUMIPULSE system | 91% | 89% | 85% | 90% | 88% | |
Number of voluntarily recall incidents | In Vitro Diagnostics business*1 | 0 | 1 | 0 | 0 | 0 |
Number of serious nonconformities | In Vitro Diagnostics business*1 | 0 | 1 | 0 | 0 | 0 |
Clinical Laboratory Testing business*2 | 1 | 1 | 1 | 1 | 0 |
- Voluntary recall incidents defined as serious nonconformities
- Cases requiring administrative response
Business partners
2015 | 2016 | 2017 | 2018 | 2019 | |
---|---|---|---|---|---|
Number of suppliers performing risk assessment*1 | 89 | ||||
Percentage of suppliers performing risk assessment*1 | 100% | ||||
Reported cases of child labor at suppliers | 0 | 0 | 0 | 0 | 0 |
Reported cases of forced labor at suppliers | 0 | 0 | 0 | 0 | 0 |
- Suppliers at 80% sales coverage of each of the applicable range
Employees*1
2015 | 2016 | 2017 | 2018 | 2019 | ||
---|---|---|---|---|---|---|
Number of employees | Regular employees (female) | 1,034 | 1,039 | 1,245 | 1,260 | 1,940 |
Regular employees (male) | 1,618 | 1,562 | 1,844 | 1,975 | 2,261 | |
Managers (female)*2 | 23 | 21 | 50 | 66 | 74 | |
Managers (male)*2 | 237 | 215 | 334 | 401 | 458 | |
Directors and Officers | 26 | 20 | 20 | 22 | 33 | |
Number of employees by area | Japan (female) | 1,056 | 1,059 | 1,294 | 1,326 | 2,013 |
Japan (male) | 1,846 | 1,766 | 2,169 | 1,966 | 2,713 | |
Asia (female) | 1 | 1 | 1 | 1 | 1 | |
Asia (male) | 6 | 6 | 4 | 5 | 5 | |
North America (female) | 0 | 0 | 0 | 0 | 0 | |
North America (male) | 3 | 3 | 4 | 1 | 1 | |
Europe (female) | 0 | 0 | 0 | 0 | 0 | |
Europe (male) | 0 | 2 | 1 | 1 | 0 | |
Average age | 43.9 | 44.6 | 42.9 | 42.5 | 40.0 | |
Number of women employees in new hires | Male | 10 | 21 | 25 | 59 | 41 |
Female | 16 | 32 | 34 | 99 | 95 | |
Average employment year | Male | 14.2 | 14.3 | 13.0 | ||
Female | 10.6 | 11.1 | 10.0 | |||
Percentage difference | 3.6 | 3.2 | 3.0 | |||
Annual working hours per employee | 2,054 | 2,001 | 2,015 | 2,034 | 2,008 | |
Average days of paid leave taken | 8 | 8 | 7 | 8 | 12 | |
Average rate of paid leave taken | 42.5% | 44.5% | 43.4% | 44.0% | 60.1% | |
Work-related deaths | 0 | 0 | 0 | 0 | 0 | |
Lost time injury frequency rate | 0.00% | 0.19% | 0.35% | 0.27% | 0.75% | |
Percentage of female managers*2 | 9.4% | 10.0% | 11.8% | 14.1% | 14.2% | |
Percentage of female new recruits incl. mid-career employment | 48.4% | 40.5% | 43.4% | 49.1% | 46.3% | |
Average years of employment (years / employee) | 16.7 | 17.2 | 16.5 | 13.0 | 12.0 | |
Under age 30 | 2.5 | 2.7 | 2.7 | 1.6 | 2.0 | |
Age 30 to 50 | 14.6 | 14.9 | 15.0 | 10.7 | 10.0 | |
Age 50 and over | 24.4 | 24.5 | 24.7 | 23.2 | 22.0 | |
Employees with disabilities | 75 | 77 | 67 | 66 | 161 | |
Percentage of employees with disabilities | 2.20% | 2.20% | 2.01% | 1.97% | 1.86% | |
Foreign-national employees | 10 | 10 | 14 | 16 | 13 | |
Employees taking parental leave (including paternity leave) | 43 | 66 | 66 | 84 | 173 | |
Percentage of employees taking parental leave (including paternity leave) | 95.3% | 98.1% | 98.1% | 100.0% | 100.0% | |
Percentage of employees returning to work after maternity / parental leave | 97.2% | 100% | 100% | 90.6% | 97.0% | |
Employees taking family care leave (short term) | 10 | 36 | 24 | 21 | 3 | |
Employees taking family care leave (long term) | 1 | 2 | 3 | 3 | 3 | |
Average annual salary of employees | 7,679,456 | 7,307,152 | 7,387,697 | 6,791,909 | 5,713,090 | |
Employee turnover rate | 5.3% | 5.7% | 6.2% | 5.0% | 6.1% | |
Percentage of employees undergoing medical checkup | 94.3% | 94.4% | 92.7% | 94.9% | 92.3% | |
Average annual training time per employee | 11 | 8 | ||||
Employees passing DMR qualification exam | 5 | 1 | 7 | 28 | 28 | |
Participants in human error prevention courses | 35 | 32 | 44 | 41 | 75 | |
Average monthly overtime hours | 19.5 | 17.8 | 21.5 | 19.0 | 21.0 |
- Full-time employees
- Managers & above
Community
2015 | 2016 | 2017 | 2018 | 2019 | ||
---|---|---|---|---|---|---|
Participants in philanthropic activities*1 | 300 | 300 | 300 | 1,514 | 459 | |
Participants in H.U. Group Summer Festival | Over 2,000 | Over 2,000 | Over 2,000 | Over 2,000 | Over 2,000 | |
Charitable trust fund*2 | Research subsidies (JPY) |
209,800,000 | 214,800,000 | 219,800,000 | 224,800,000 | 229,800,000 |
Koichiro Fujita Award (JPY) |
6,000,000 | 6,500,000 | 7,000,000 | 7,500,000 | 8,000,000 | |
Nozomu Kosakai Award (JPY) |
13,000,000 | 13,500,000 | 14,000,000 | 14,500,000 | 15,000,000 | |
Seminars held in China | 12 | 30 | Over 100 | Over 100 | Over 100 | |
Marrow donor program (No. of cases) | 9,458 | 8,801 | 8,363 | 9,244 | 9,512 |
- Full-scale operation since FY2018. Lower estimate up to FY2017.
- Cumulative amount for each category
Shareholders
2015 | 2016 | 2017 | 2018 | 2019 | |
---|---|---|---|---|---|
Shareholder / investor Engagement | 292 | 325 | 303 | 219 | 159 |
Governance
Compliance
2015 | 2016 | 2017 | 2018 | 2019 | |
---|---|---|---|---|---|
Violations of anti-corruption policies and procedures | 0 | 0 | 0 | 0 | 0 |
Fines for violations stated above | 0 | 0 | 0 | 0 | 0 |
Percentage of employees taking compliance comprehension test | 97.3% | 99.0% | 95.4% | 94.5% | |
Inquiries to IT Service Desk*1 | 9,531 | 18,251 | 12,353 | ||
Cases reported to H.U. Group Hotline | 36 | 59 | 104 | 109 | 125 |
- Established in FY2017
Applicable range/period
Applicable range |
|
---|---|
Period | Those figures are calculated based on our fiscal year. (April 1 to March 31 of the following year) (Except where noted) |