Xeris Biopharma Holdings (XERS) Receivables - Net (2020 - 2026)
Xeris Biopharma Holdings (XERS) posted Receivables - Net of $58.11 million for Q2 2026, up 9.5% from $53.05 million a year earlier and up 3.2% from the prior quarter.
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Analysis
Xeris Biopharma Holdings (XERS) Receivables - Net (2020 - 2026) Analysis & Trends
At the end of FY2025, Xeris Biopharma Holdings' Receivables - Net came in at $51.05 million, up 26.3% from FY2024.
- Annual Receivables - Net has increased for five consecutive years, with a five-year compound annual growth rate of 49.3% (FY2020 to FY2025).
- In prior years, Xeris Biopharma Holdings' Receivables - Net was $40.42 million in FY2024 (+3.1%), $39.2 million in FY2023 (+27.1%), $30.83 million in FY2022 (+76.6%) and $17.46 million in FY2021 (+153.9%).
- The Q2 2026 figure stands as the highest quarterly Receivables - Net in data going back to Q4 2020.
- On a year-over-year basis, Receivables - Net has increased in each of the last seven quarters, with growth averaging 16.2% over the last eight quarters.
- The strongest year-over-year quarter for Receivables - Net in the past five years was Q4 2021, with growth of 153.9%; the weakest was Q3 2024, with a decline of 10.5%.
- According to Business Quant data, Receivables - Net for the three prior quarters was $56.3 million (Q1 2026), $51.05 million (Q4 2025) and $53.75 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,130.22 Bn | 1,098.81 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 613.62 Bn | 532.15 Bn | 17.26 Bn |
| 3 | AbbVie | 501.46 Bn | 474.57 Bn | 12.70 Bn |
| 4 | Merck | 366.84 Bn | 321.22 Bn | 12.21 Bn |
| 5 | Novartis Ag | 297.85 Bn | 261.84 Bn | 11.24 Bn |
| 6 | Astrazeneca | 261.66 Bn | 235.34 Bn | 12.86 Bn |
| 7 | Amgen | 235.39 Bn | 190.79 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 190.66 Bn | 164.86 Bn | 6.22 Bn |
| 9 | Pfizer | 169.57 Bn | 116.22 Bn | 10.94 Bn |
| 10 | Xeris Biopharma Holdings | 1.91 Bn | 1.47 Bn | 79.59 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 58.11 Mn |
| Mar 31, 2026 | 56.30 Mn |
| Dec 31, 2025 | 51.05 Mn |
| Sep 30, 2025 | 53.75 Mn |
| Jun 30, 2025 | 53.05 Mn |
| Mar 31, 2025 | 46.33 Mn |
| Dec 31, 2024 | 40.42 Mn |
| Sep 30, 2024 | 41.14 Mn |
| Jun 30, 2024 | 42.44 Mn |
| Mar 31, 2024 | 37.41 Mn |
| Dec 31, 2023 | 39.20 Mn |
| Sep 30, 2023 | 45.97 Mn |
| Jun 30, 2023 | 30.23 Mn |
| Mar 31, 2023 | 30.86 Mn |
| Dec 31, 2022 | 30.83 Mn |
| Sep 30, 2022 | 27.52 Mn |
| Jun 30, 2022 | 25.76 Mn |
| Mar 31, 2022 | 23.38 Mn |
| Dec 31, 2021 | 17.46 Mn |
| Sep 30, 2021 | 13.56 Mn |
API Access
Xeris Biopharma Holdings Receivables - Net 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-net&ticker=XERS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "ticker": "XERS", "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-net&ticker=XERS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();