Gsk (GSK) Receivables (2009 - 2026)
Gsk (GSK) posted Receivables of $10.88 billion for the quarter ended Sep 30, 2026, up 2.0% from $10.67 billion a year earlier and up 6.5% from the prior quarter.
Gsk (GSK) Receivables (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Gsk's Receivables came in at $11.61 billion, up 20.2% from the prior year.
- Annual Receivables shows a five-year compound annual growth rate of 1.3% (years ended Dec 2020 to Dec 2025).
- In prior years, Gsk's Receivables was $9.65 billion in the year ended Dec 31, 2024 (-10.1%), $10.73 billion in the year ended Dec 31, 2023 (+7.5%), $9.98 billion in the year ended Dec 31, 2022 (-19.0%) and $12.32 billion in the year ended Dec 31, 2021 (+13.4%).
- Quarterly Receivables has run from a low of $7.83 billion in the quarter ended Jun 30, 2022 to a high of $18.06 billion in the quarter ended Mar 31, 2022 over five years.
- On a year-over-year basis, Receivables has increased in each of the last seven quarters, with growth averaging 6.1% over the last eight quarters.
- The strongest year-over-year quarter for Receivables in the past five years was the quarter ended Mar 31, 2022, with growth of 102.4%; the weakest was the quarter ended Mar 31, 2023, with a decline of 53.1%.
- According to Business Quant data, Receivables for the three prior quarters was $10.21 billion (quarter ended Jun 30, 2026), $10.22 billion (quarter ended Mar 31, 2026) and $11.61 billion (quarter ended Dec 31, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.17 Bn | 1,237.79 Bn | 20.46 Bn | 25.23 Bn |
| 2 | Johnson & Johnson | 660.04 Bn | 579.90 Bn | 17.30 Bn | 18.99 Bn |
| 3 | AbbVie | 521.06 Bn | 494.17 Bn | 12.70 Bn | 13.82 Bn |
| 4 | Merck | 370.60 Bn | 370.60 Bn | - | - |
| 5 | Novartis Ag | 311.97 Bn | 285.20 Bn | - | - |
| 6 | Astrazeneca | 288.69 Bn | 262.37 Bn | 12.86 Bn | 15.68 Bn |
| 7 | Amgen | 252.29 Bn | 207.69 Bn | 7.24 Bn | 10.23 Bn |
| 8 | Gilead Sciences | 213.47 Bn | 213.47 Bn | - | - |
| 9 | Pfizer | 173.68 Bn | 120.32 Bn | 10.94 Bn | 12.49 Bn |
| 10 | Gsk | 100.27 Bn | 83.11 Bn | 8.73 Bn | 10.88 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 10.88 Bn |
| Jun 30, 2026 | 10.21 Bn |
| Mar 31, 2026 | 10.22 Bn |
| Dec 31, 2025 | 11.61 Bn |
| Sep 30, 2025 | 10.67 Bn |
| Jun 30, 2025 | 10.04 Bn |
| Mar 31, 2025 | 9.13 Bn |
| Dec 31, 2024 | 9.65 Bn |
| Sep 30, 2024 | 9.88 Bn |
| Jun 30, 2024 | 9.18 Bn |
| Mar 31, 2024 | 8.63 Bn |
| Dec 31, 2023 | 10.73 Bn |
| Sep 30, 2023 | 10.43 Bn |
| Jun 30, 2023 | 8.55 Bn |
| Mar 31, 2023 | 8.46 Bn |
| Dec 31, 2022 | 9.98 Bn |
| Sep 30, 2022 | 8.39 Bn |
| Jun 30, 2022 | 7.83 Bn |
| Mar 31, 2022 | 18.06 Bn |
| Dec 31, 2021 | 12.32 Bn |
Gsk Receivables 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=receivables&ticker=GSK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=GSK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();