Gsk (GSK) Receivables (2009 - 2026)
Gsk (GSK) posted Receivables of $10.34 billion for the quarter ended Jun 30, 2026, up 5.9% from $9.77 billion a year earlier but down 1.1% from the prior quarter.
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Analysis
Gsk (GSK) Receivables (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Gsk's Receivables came in at $11.36 billion, up 15.5% from the prior year.
- Annual Receivables shows a five-year compound annual growth rate of 2.1% (years ended Dec 2020 to Dec 2025).
- In prior years, Gsk's Receivables was $9.83 billion in the year ended Dec 31, 2024 (-6.2%), $10.49 billion in the year ended Dec 31, 2023 (+2.3%), $10.25 billion in the year ended Dec 31, 2022 (-18.4%) and $12.56 billion in the year ended Dec 31, 2021 (+22.7%).
- Quarterly Receivables has run from a low of $8.13 billion in the quarter ended Jun 30, 2022 to a high of $18.44 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 six quarters, with growth averaging 5.4% 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 106.0%; the weakest was the quarter ended Mar 31, 2023, with a decline of 55.0%.
- According to Business Quant data, Receivables for the three prior quarters was $10.46 billion (quarter ended Mar 31, 2026), $11.46 billion (quarter ended Dec 31, 2025) and $10.71 billion (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,109.58 Bn | 1,078.16 Bn | 19.71 Bn | 23.48 Bn |
| 2 | Johnson & Johnson | 630.16 Bn | 548.69 Bn | 17.26 Bn | 19.05 Bn |
| 3 | AbbVie | 488.57 Bn | 461.73 Bn | 12.70 Bn | 13.82 Bn |
| 4 | Merck | 359.15 Bn | 313.58 Bn | 12.21 Bn | 12.56 Bn |
| 5 | Novartis Ag | 274.32 Bn | 238.71 Bn | 11.24 Bn | 9.64 Bn |
| 6 | Astrazeneca | 246.73 Bn | 220.50 Bn | 12.86 Bn | 15.68 Bn |
| 7 | Amgen | 224.28 Bn | 179.68 Bn | 7.24 Bn | 10.23 Bn |
| 8 | Gilead Sciences | 187.60 Bn | 161.71 Bn | 6.22 Bn | 5.06 Bn |
| 9 | Pfizer | 161.13 Bn | 108.08 Bn | 10.94 Bn | 12.49 Bn |
| 10 | Gsk | 100.33 Bn | 81.91 Bn | 8.24 Bn | 10.34 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.34 Bn |
| Mar 31, 2026 | 10.46 Bn |
| Dec 31, 2025 | 11.46 Bn |
| Sep 30, 2025 | 10.71 Bn |
| Jun 30, 2025 | 9.77 Bn |
| Mar 31, 2025 | 8.89 Bn |
| Dec 31, 2024 | 9.87 Bn |
| Sep 30, 2024 | 9.59 Bn |
| Jun 30, 2024 | 9.16 Bn |
| Mar 31, 2024 | 8.67 Bn |
| Dec 31, 2023 | 10.46 Bn |
| Sep 30, 2023 | 10.82 Bn |
| Jun 30, 2023 | 8.48 Bn |
| Mar 31, 2023 | 8.31 Bn |
| Dec 31, 2022 | 9.71 Bn |
| Sep 30, 2022 | 8.85 Bn |
| Jun 30, 2022 | 8.13 Bn |
| Mar 31, 2022 | 18.44 Bn |
| Dec 31, 2021 | 12.30 Bn |
| Sep 30, 2021 | 10.61 Bn |
API Access
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_KEYimport 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();