Atoka API User Reference

Companies package "Sectors"

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Available fields
Description
Data
Used by filters
Facet
Match
Stats
count

Total number of sectors the company belongs to

int -
items[].criticalVars[]

A list of critical variables, or points, for the sector; present only when type=settore.

"string" -
items[].economicsSector

Whether this sector contains "economics" fields (secBalanceSheets)

true | false -
items[].id

Unique ID identifying the sector

"string" -
items[].infoSector

Whether this sector contains "info" fields such as criticalVars, opportunities, ...

true | false -
items[].opportunities[]

A list of opportunities for the sector; present only when type=settore.

"string" -
items[].secBalanceSheets[].creditsRotationDays

Credits Rotation Days mean value for companies in this sector

float -
items[].secBalanceSheets[].debtCov

Debt Coverage index mean value for companies in this sector

float -
items[].secBalanceSheets[].debtsRotationDays

Debt Rotation Days mean value for companies in this sector

float -
items[].secBalanceSheets[].ebitdaMarginMol

EBITDA Margin mean value for companies in this sector

float -
items[].secBalanceSheets[].fixedAssetsCov

Fixed Assets Coverage index mean value for companies in this sector

float -
items[].secBalanceSheets[].leverage

Leverage mean value for companies in this sector

float -
items[].secBalanceSheets[].mol

MOL mean value for companies in this sector

float -
items[].secBalanceSheets[].operatingWorkingOnRev

Operating Working Capital On Revenue mean value of companies in this sector

float -
items[].secBalanceSheets[].revenue

Revenue reference value for companies in this sector

float -
items[].secBalanceSheets[].roe

ROE mean value for companies in this sector

float -
items[].secBalanceSheets[].roi

ROI mean value for companies in this sector

float -
items[].secBalanceSheets[].warehouseTurnoverDays

Warehouse Turnover Days mean value for companies in this sector

float -
items[].secBalanceSheets[].year

Year of reference for the sector economics

int -
items[].secNumbers[].apparentConsumption

Apparent consumption total for this sector (in Millions)

float -
items[].secNumbers[].export

Export total for this sector (in Millions)

float -
items[].secNumbers[].exportOnProd

Export on production total for this sector (in Millions)

float -
items[].secNumbers[].import

Import total for this sector (in Millions)

float -
items[].secNumbers[].importOnCons

Import on Apparent Consumption total for this sector (in Millions)

float -
items[].secNumbers[].production

Production total for this sector (in Millions)

float -
items[].secNumbers[].tradeBalance

Trade Balance total for this sector (in Millions)

float -
items[].secNumbers[].year

Year of reference for the sector totals

int -
items[].summary

A textual description of the sector (in Italian); present only when type=settore.

"string" -
items[].threats[]

A list of threats for the sector; present only when type=settore.

"string" -
items[].title

The name of the sector (in Italian); present only when type=settore.

"string" -
items[].type

The type of sector

"settore", "ateco" -
Example JSON fragment for package
{
"count": 42,
"items": [
{
"id": "HB03",
"type": "settore",
"title": "Viteria e bulloneria",
"infoSector": false,
"economicsSector": false,
"summary": "Il settore รจ caratterizzato dalla presenza di un migliaio di imprese: risultano [...]",
"criticalVars": [
"investimenti sul ciclo produttivo e logistico",
...
],
"opportunities": [
"politiche istituzionali anti-dumping",
...
],
"threats": [
"crescente concorrenza dei prodotti di provenienza asiatica",
...
],
"secNumbers": [
{
"year": 2018,
"apparentConsumption": 0.42,
"export": 0.42,
"exportOnProd": 0.42,
"import": 0.42,
"importOnCons": 0.42,
"production": 0.42,
"tradeBalance": 0.42
},
...
],
"secBalanceSheets": [
{
"year": 2018,
"creditsRotationDays": 0.42,
"debtCov": 0.42,
"debtsRotationDays": 0.42,
"ebitdaMarginMol": 0.42,
"fixedAssetsCov": 0.42,
"leverage": 0.42,
"mol": 0.42,
"operatingWorkingOnRev": 0.42,
"revenue": 0.42,
"roe": 0.42,
"roi": 0.42,
"warehouseTurnoverDays": 0.42
},
...
]
},
...
]
}