Xeris Biopharma Holdings (XERS) Change in Inventory (2020 - 2026)
Xeris Biopharma Holdings (XERS) recorded Change in Inventory of $9.5 million in Q2 2026, up 25.5% from $7.57 million a year earlier.
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Analysis
Xeris Biopharma Holdings (XERS) Change in Inventory (2020 - 2026) Analysis & Trends
On a TTM basis, Xeris Biopharma Holdings' Change in Inventory came in at $16.75 million as of Jun 30, 2026, up 8.9% year-over-year; for FY2025, it was $19.29 million, up 119.6% from FY2024.
- Annual Change in Inventory has a five-year compound annual growth rate of 30.3% (FY2020 to FY2025).
- Across earlier years, Change in Inventory came in at $8.78 million in FY2024 (-40.7%), $14.8 million in FY2023 (+98.3%), $7.47 million in FY2022 (+0.6%) and $7.42 million in FY2021 (+44.2%).
- The Q2 2026 figure is the highest quarterly Change in Inventory in data going back to Q4 2020.
- On a year-over-year basis, Change in Inventory rose in six of the last seven quarters, with growth averaging 100.7%.
- Peak year-over-year performance for Change in Inventory in the last five years was growth of 289.8% in Q3 2025, against a decline of 95.5% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at -$851,000 (Q1 2026), $4.01 million (Q4 2025) and $4.09 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 571.00 Mn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 143.00 Mn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | - |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | - |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | - |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 31.00 Mn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 145.00 Mn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | - |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 27.70 Mn |
| 10 | Xeris Biopharma Holdings | 1.66 Bn | 1.22 Bn | 79.59 Mn | 9.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.50 Mn |
| Mar 31, 2026 | -851,000.00 |
| Dec 31, 2025 | 4.01 Mn |
| Sep 30, 2025 | 4.09 Mn |
| Jun 30, 2025 | 7.57 Mn |
| Mar 31, 2025 | 3.62 Mn |
| Dec 31, 2024 | 3.14 Mn |
| Sep 30, 2024 | 1.05 Mn |
| Jun 30, 2024 | 2.27 Mn |
| Mar 31, 2024 | 2.33 Mn |
| Dec 31, 2023 | 1.40 Mn |
| Sep 30, 2023 | 2.15 Mn |
| Jun 30, 2023 | 7.43 Mn |
| Mar 31, 2023 | 3.82 Mn |
| Dec 31, 2022 | 5.51 Mn |
| Sep 30, 2022 | 1.66 Mn |
| Jun 30, 2022 | 148,000.00 |
| Mar 31, 2022 | 157,000.00 |
| Dec 31, 2021 | 2.27 Mn |
| Sep 30, 2021 | 1.26 Mn |
API Access
Xeris Biopharma Holdings 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=XERS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "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=change-in-inventory&ticker=XERS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();