Savara (SVRA) Accumulated Expenses (2009 - 2026)
Savara's Accumulated Expenses was $10.6 million in Q2 2026, up 19.4% from $8.88 million a year earlier but down 4.0% from the prior quarter.
Analysis
Savara (SVRA) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Savara came in at $14.64 million, up 43.8% from FY2024.
- Accumulated Expenses has now increased for three consecutive years, with a five-year compound annual growth rate of 21.3% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $10.18 million in FY2024 (+43.5%), $7.09 million in FY2023 (+56.5%), $4.53 million in FY2022 (-7.2%) and $4.88 million in FY2021 (-12.5%).
- Quarterly Accumulated Expenses has moved between $2.53 million (Q1 2022) and $14.64 million (Q4 2025) over five years.
- Compared with a year earlier, Accumulated Expenses has increased for five straight quarters, with growth averaging 35.1% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was Q2 2024 (growth of 133.5%); the worst was Q1 2022 (a decline of 43.6%).
- Per Business Quant data, SVRA's Accumulated Expenses in the three quarters before Q2 2026 was $11.04 million (Q1 2026), $14.64 million (Q4 2025) and $12.62 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn |
| 10 | Savara | 1.09 Bn | 407.27 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 12.19 Mn |
| Jun 30, 2026 | 10.60 Mn |
| Mar 31, 2026 | 11.04 Mn |
| Dec 31, 2025 | 14.64 Mn |
| Sep 30, 2025 | 12.62 Mn |
| Jun 30, 2025 | 8.88 Mn |
| Mar 31, 2025 | 6.34 Mn |
| Dec 31, 2024 | 10.18 Mn |
| Sep 30, 2024 | 8.18 Mn |
| Jun 30, 2024 | 7.90 Mn |
| Mar 31, 2024 | 6.96 Mn |
| Dec 31, 2023 | 7.09 Mn |
| Sep 30, 2023 | 5.74 Mn |
| Jun 30, 2023 | 3.38 Mn |
| Mar 31, 2023 | 3.35 Mn |
| Dec 31, 2022 | 4.53 Mn |
| Sep 30, 2022 | 4.27 Mn |
| Jun 30, 2022 | 2.90 Mn |
| Mar 31, 2022 | 2.53 Mn |
| Dec 31, 2021 | 4.88 Mn |
API Access
Savara 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=SVRA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "SVRA", "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=SVRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();