Orange (ORANY) Inventory (2015 - 2023)
Orange (ORANY) recorded Inventory of $1.24 billion in Q4 2023, up 15.9% from $1.07 billion a year earlier.
Analysis
Orange (ORANY) Inventory (2015 - 2023) Analysis & Trends
Starting with Q4 2015, Orange's Inventory history includes 11 quarters.
- Annual Inventory has a five-year compound annual growth rate of 1.7% (FY2018 to FY2023).
- Across earlier years, Inventory came in at $1.07 billion in FY2022 (-1.8%), $1.09 billion in FY2021 (+17.2%), $929.4 million in FY2020 (-8.4%) and $1.01 billion in FY2019 (-11.0%).
- The Q4 2023 figure is the highest quarterly Inventory in data going back to Q4 2015.
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 1.28 Bn |
| Jun 30, 2023 | 1.18 Bn |
| Dec 31, 2022 | 1.12 Bn |
| Dec 31, 2021 | 1.08 Bn |
| Dec 31, 2020 | 1.00 Bn |
| Jun 30, 2020 | 974.01 Mn |
| Dec 31, 2019 | 1.01 Bn |
| Dec 31, 2018 | 1.10 Bn |
| Dec 31, 2017 | 987.58 Mn |
| Dec 31, 2016 | 866.12 Mn |
| Dec 31, 2015 | 834.26 Mn |
API Access
Orange Inventory API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=inventory&ticker=ORANY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "ticker": "ORANY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=inventory&ticker=ORANY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();