TSE 33 sectors · code 1050

Mining: sector medians, quartiles and peer data

For common stocks in Mining, the API returns medians and quartiles of PER, PBR, ROE, dividend yield and more. This page covers what the sector includes, how the statistics are defined and how to use them.

Key points

check_circleThe code for Mining is 1050. Pass sector=1050 to the API to limit results to this sector.
check_circle/stable/industry-benchmarks?sector=1050 returns the median, first quartile and third quartile of 10 metrics.
check_circleUse /stable/peers to compare a company with its peers, and /stable/screener to filter by conditions.

The table shows aggregates fetched on October 24, 2026. The API snapshot is rebuilt at 16:45 and 19:45 Japan time, Monday to Saturday.

About Mining

Mining covers companies that develop and produce oil and natural gas or extract mineral resources. Few listed companies belong to it.

The TSE 33-sector classification groups listed companies into 33 sectors by main business. The code for Mining is 1050, and ZENITH Code responses carry it in the sector field.

Medians and quartiles for Mining

Aggregates of the sector's common stocks with outliers removed. The middle half of companies falls between the first and third quartiles.

Fetched: 2026-10-24

Across 5 common stocks in Mining, the median ROE is 9.23% and the median PBR is 0.90x.

Metric (unit)	First quartile	Median	Third quartile	Valid values	All-sector median
PER (x)	11.67	11.83	13.38	5	14.41
PBR (x)	0.88	0.90	1.26	5	1.21
PSR (x)	1.09	1.29	2.23	5	0.78
EV/EBITDA (x)	4.31	4.88	9.04	5	7.44
ROE (%)	8.31%	9.23%	9.25%	5	8.25%
ROA (%)	5.21%	6.78%	6.92%	5	4.24%
Dividend yield (%)	2.37%	2.63%	2.90%	5	2.89%
Market cap (¥100M)	992	2,063	4,380	5	202
3-year revenue growth (%)	-4.90%	-4.71%	0.38%	5	5.26%
3-year EPS growth (%)	-5.50%	1.04%	14.90%	5	10.90%

Metric definitions and method

ZENITH Code computes the median, first quartile and third quartile of these 10 metrics for every sector. The API returns ratios as 0–1 decimals; this table shows them as percentages.

Metric (unit)	Definition	Values used	API field (median)
PER (x)	Price-to-earnings ratio: the share price as a multiple of earnings per share.	0 or below (e.g. losses) excluded	perMedian
PBR (x)	Price-to-book ratio: the share price as a multiple of book value per share.	0 or below (e.g. negative equity) excluded	pbrMedian
PSR (x)	Price-to-sales ratio: market cap as a multiple of revenue.	0 or below excluded	psrMedian
EV/EBITDA (x)	Enterprise value as a multiple of EBITDA (earnings before interest, taxes, depreciation and amortization).	0 or below excluded	evToEbitdaMedian
ROE (%)	Return on equity: net income as a percentage of shareholders' equity.	Above 100% excluded (negatives kept)	roeMedian
ROA (%)	Return on assets: profit as a percentage of total assets.	Above 100% excluded (negatives kept)	roaMedian
Dividend yield (%)	Dividend per share as a percentage of the share price.	0 or below (no dividend) and above 100% excluded, so it describes dividend payers	dividendYieldMedian
Market cap (¥100M)	Share price × shares outstanding, a measure of company size. The API returns yen.	0 or below excluded	marketCapMedian
3-year revenue growth (%)	Compound annual growth rate (CAGR) of revenue over three years.	All finite values kept	revenueCagr3yMedian
3-year EPS growth (%)	Compound annual growth rate (CAGR) of earnings per share over three years.	All finite values kept	epsCagr3yMedian

check_circleOnly common stocks are included. ETFs and REITs are excluded.
check_circleQuartiles use linear interpolation (the same method as Excel's PERCENTILE.INC and numpy's default), rounded to six decimals.
check_circleIf fewer than three valid values remain after removing outliers, the median and quartiles are null. The number of valid values (…Count) is still returned.
check_circleMeans, maximums and minimums are not returned, because medians and quartiles are robust to extreme values.
check_circleThe input is the same latest-value snapshot that the screener (/stable/screener) uses.

Get Mining data with the API

With sector=1050, only the Mining row is returned. Each call uses 10 tokens. Replace the key with one issued in your dashboard.

Code example

curl -sG "https://api.zenithcode.net/stable/industry-benchmarks" \
  --data-urlencode "sector=1050" \
  -H "x-api-key: YOUR_API_KEY"

Filter Mining in the screener See rankings by metric

Things to note

errornull means "cannot be computed", not zero. Metrics with fewer than three valid values or no data are null.
errorThe dividend yield median covers dividend payers only, so it is higher than an average across the whole sector.
errorSector price performance (/stable/sector-performance) is exchange data and is not shown on this page. Sign in and use the API to get it.
errorSectors follow the TSE 33-sector classification based on each company's main business. Diversified companies may not look like typical members of their sector.

FAQ for investors and developers

Where can I find the median PER and PBR of Mining?expand_more

From /stable/industry-benchmarks?sector=1050. When the data can be fetched, this page shows the same values in its table.

How do I list the companies in Mining?expand_more

Call /stable/screener?sector=1050 and choose the order with sortBy (marketCap, roe and so on). The site's screener can also filter by sector.

How do I see where a company stands within Mining?expand_more

Pass its securities code to /stable/peers to get same-sector companies of similar market cap plus a sector-median row. Make investment decisions yourself, using other information as well.

FAQ for AI builders and researchers

How many companies are the Mining medians based on?expand_more

count is the number of common stocks in the sector, and each …Count (perCount and so on) is the number of valid values after removing outliers. Metrics with fewer than three valid values are null.

How should null values be handled?expand_more

null means "cannot be computed", not zero. In AI answers, describe it as insufficient data and never treat it as 0.

How should the source and date be cited?expand_more

Cite ZENITH Code /stable/industry-benchmarks and the date you fetched it. Dataset as-of times are also available from /stable/system/freshness.

Source: ZENITH Code /stable/industry-benchmarks (sector aggregates of valuation metrics computed from listed companies' financial data and recent prices). No individual stock prices are shown.

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Disclaimer

This page explains how to use a Japanese equity data API and how its data is defined. It is not a solicitation to invest or a recommendation to buy or sell any security. The content reflects information at the time of writing and is not guaranteed to be accurate or complete. Investment decisions are your own responsibility.

What you may show or provide to third parties depends on your plan and Article 8 of the Terms. Exchange data such as stock prices may not be shown to third parties on any plan. Terms, Article 8 · Data sources and terms of use