Geron (GERN) Receivables (2015 - 2026)
Geron's Receivables was $53.5 million in Q2 2026, up 35.9% from $39.36 million a year earlier and up 21.3% from the prior quarter.
Analysis
Geron (GERN) Receivables (2015 - 2026) Analysis & Trends
At the end of FY2025, Receivables at Geron came in at $39.23 million, up 1.1% from FY2024.
- In earlier years, Receivables was $38.8 million in FY2024.
- The Q2 2026 figure marks the highest quarterly Receivables in data going back to Q4 2015.
- Compared with a year earlier, Receivables has increased for four straight quarters, with growth averaging 23.0% over the last four quarters.
- Per Business Quant data, GERN's Receivables in the three quarters before Q2 2026 was $44.1 million (Q1 2026), $39.23 million (Q4 2025) and $37.66 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,146.94 Bn | 1,115.53 Bn | 19.71 Bn | 23.48 Bn |
| 2 | Johnson & Johnson | 624.96 Bn | 543.49 Bn | 17.26 Bn | 19.05 Bn |
| 3 | AbbVie | 510.15 Bn | 483.27 Bn | 12.70 Bn | 13.82 Bn |
| 4 | Merck | 366.13 Bn | 320.51 Bn | 12.21 Bn | 12.56 Bn |
| 5 | Novartis Ag | 297.75 Bn | 261.74 Bn | 11.24 Bn | 9.64 Bn |
| 6 | Astrazeneca | 261.93 Bn | 235.62 Bn | 12.86 Bn | 15.68 Bn |
| 7 | Amgen | 236.51 Bn | 191.91 Bn | 7.24 Bn | 10.23 Bn |
| 8 | Gilead Sciences | 194.27 Bn | 168.47 Bn | 6.22 Bn | 5.06 Bn |
| 9 | Pfizer | 171.74 Bn | 118.39 Bn | 10.94 Bn | 12.49 Bn |
| 10 | Geron | 827.50 Mn | -524.20 Mn | - | 53.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 53.50 Mn |
| Mar 31, 2026 | 44.10 Mn |
| Dec 31, 2025 | 39.23 Mn |
| Sep 30, 2025 | 37.66 Mn |
| Jun 30, 2025 | 39.36 Mn |
| Mar 31, 2025 | 33.98 Mn |
| Dec 31, 2024 | 38.80 Mn |
| Sep 30, 2024 | 30.09 Mn |
| Jun 30, 2024 | 3.13 Mn |
| Sep 30, 2016 | 5.40 Mn |
| Dec 31, 2015 | 2.41 Mn |
API Access
Geron 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=GERN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "ticker": "GERN", "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=GERN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();