Gsk (GSK) Change in Inventory (2009 - 2023)
Gsk (GSK) reported Change in Inventory of -$526.25 million for the quarter ended Dec 31, 2023, compared with -$315.52 million a year earlier.
Analysis
Gsk (GSK) Change in Inventory (2009 - 2023) Analysis & Trends
For the year ended Dec 31, 2023, Gsk posted Change in Inventory of -$527.38 million.
- By year, Change in Inventory came in at -$332.92 million in the year ended Dec 31, 2022 and $70.17 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Dec 31, 2023 ranks as the lowest quarterly Change in Inventory since the quarter ended Dec 31, 2017.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,109.58 Bn | 1,078.16 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 630.16 Bn | 548.69 Bn | 17.26 Bn | 571.00 Mn |
| 3 | AbbVie | 488.57 Bn | 461.73 Bn | 12.70 Bn | 143.00 Mn |
| 4 | Merck | 359.15 Bn | 313.58 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 274.32 Bn | 238.71 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 246.73 Bn | 220.50 Bn | 12.86 Bn | - |
| 7 | Amgen | 224.28 Bn | 179.68 Bn | 7.24 Bn | 31.00 Mn |
| 8 | Gilead Sciences | 187.60 Bn | 161.71 Bn | 6.22 Bn | 145.00 Mn |
| 9 | Pfizer | 161.13 Bn | 108.08 Bn | 10.94 Bn | - |
| 10 | Gsk | 100.33 Bn | 81.91 Bn | 8.24 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | -526.25 Mn |
| Dec 31, 2022 | -315.52 Mn |
| Dec 31, 2017 | -612.05 Mn |
| Dec 31, 2016 | 87.03 Mn |
| Dec 31, 2015 | -168.44 Mn |
| Dec 31, 2014 | -838.15 Mn |
| Dec 31, 2013 | -153.81 Mn |
| Dec 31, 2012 | 59.42 Mn |
| Dec 31, 2011 | -246.74 Mn |
| Dec 31, 2010 | 376.01 Mn |
| Dec 31, 2009 | -215.62 Mn |
API Access
Gsk Change in 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=change-in-inventory&ticker=GSK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "ticker": "GSK", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=change-in-inventory&ticker=GSK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();