Ligand Pharmaceuticals (LGND) Accumulated Expenses (2010 - 2026)
Ligand Pharmaceuticals (LGND) recorded Accumulated Expenses of $31.87 million in Q2 2026, up 82.5% from $17.46 million a year earlier and up 0.1% from the prior quarter.
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Analysis
Ligand Pharmaceuticals (LGND) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, Ligand Pharmaceuticals reported Accumulated Expenses of $31.45 million, up 12.7% from FY2024.
- Annual Accumulated Expenses has a five-year compound annual growth rate of 11.2% (FY2020 to FY2025).
- Across earlier years, Accumulated Expenses came in at $27.91 million in FY2024 (+123.8%), $12.47 million in FY2023 (-20.5%), $15.68 million in FY2022 (-10.8%) and $17.58 million in FY2021 (-5.1%).
- The Q2 2026 figure is the highest quarterly Accumulated Expenses in data going back to Q4 2010.
- On a year-over-year basis, Accumulated Expenses has increased for nine consecutive quarters, with growth averaging 61.0% over the last eight quarters.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 123.8% in Q4 2024, against a decline of 49.9% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $31.85 million (Q1 2026), $31.45 million (Q4 2025) and $24.08 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 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 |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Ligand Pharmaceuticals | 6.22 Bn | 2.69 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 31.87 Mn |
| Mar 31, 2026 | 31.85 Mn |
| Dec 31, 2025 | 31.45 Mn |
| Sep 30, 2025 | 24.08 Mn |
| Jun 30, 2025 | 17.46 Mn |
| Mar 31, 2025 | 23.54 Mn |
| Dec 31, 2024 | 27.91 Mn |
| Sep 30, 2024 | 15.60 Mn |
| Jun 30, 2024 | 12.17 Mn |
| Mar 31, 2024 | 12.43 Mn |
| Dec 31, 2023 | 12.47 Mn |
| Sep 30, 2023 | 10.64 Mn |
| Jun 30, 2023 | 7.29 Mn |
| Mar 31, 2023 | 14.98 Mn |
| Dec 31, 2022 | 15.68 Mn |
| Sep 30, 2022 | 19.34 Mn |
| Jun 30, 2022 | 14.55 Mn |
| Mar 31, 2022 | 15.88 Mn |
| Dec 31, 2021 | 17.58 Mn |
| Sep 30, 2021 | 12.24 Mn |
API Access
Ligand Pharmaceuticals Accumulated Expenses 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=accumulated-expenses&ticker=LGND&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "LGND", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=LGND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();