Longeveron (LGVN) Operating Expenses (2020 - 2026)
Longeveron's Operating Expenses was $6.35 million in Q2 2026, up 14.6% from $5.54 million a year earlier and up 26.1% from the prior quarter.
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Analysis
Longeveron (LGVN) Operating Expenses (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Longeveron's Operating Expenses was $24.48 million through Jun 30, 2026, up 15.8% year-over-year; for FY2025, it came in at $24.09 million, up 30.9% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 33.9% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $18.41 million in FY2024 (-13.4%), $21.25 million in FY2023 (+14.6%), $18.54 million in FY2022 (+2.7%) and $18.05 million in FY2021 (+222.0%).
- Quarterly Operating Expenses has moved between $3.56 million (Q1 2022) and $7.44 million (Q3 2025) over five years.
- Compared with a year earlier, Operating Expenses was higher in six of the last eight quarters, with growth averaging 15.3%.
- The best year-over-year quarter for Operating Expenses over five years was Q3 2021 (growth of 280.8%); the worst was Q2 2024 (a decline of 33.8%).
- Per Business Quant data, LGVN's Operating Expenses in the three quarters before Q2 2026 was $5.04 million (Q1 2026), $5.66 million (Q4 2025) and $7.44 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,171.06 Bn | 1,139.65 Bn | 19.71 Bn | 7.95 Bn |
| 2 | Johnson & Johnson | 634.89 Bn | 553.42 Bn | 17.26 Bn | 10.12 Bn |
| 3 | AbbVie | 503.32 Bn | 476.44 Bn | 12.70 Bn | 10.56 Bn |
| 4 | Merck | 377.44 Bn | 331.82 Bn | 12.21 Bn | 12.80 Bn |
| 5 | Novartis Ag | 303.91 Bn | 267.90 Bn | 11.24 Bn | 6.09 Bn |
| 6 | Astrazeneca | 267.03 Bn | 240.72 Bn | 12.86 Bn | 9.70 Bn |
| 7 | Amgen | 241.88 Bn | 197.28 Bn | 7.24 Bn | 6.54 Bn |
| 8 | Gilead Sciences | 194.01 Bn | 168.20 Bn | 6.22 Bn | 18.20 Bn |
| 9 | Pfizer | 172.57 Bn | 119.21 Bn | 10.94 Bn | 6.68 Bn |
| 10 | Longeveron | 4.60 Mn | -35.20 Mn | 182,000.00 | 6.35 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.35 Mn |
| Mar 31, 2026 | 5.04 Mn |
| Dec 31, 2025 | 5.66 Mn |
| Sep 30, 2025 | 7.44 Mn |
| Jun 30, 2025 | 5.54 Mn |
| Mar 31, 2025 | 5.46 Mn |
| Dec 31, 2024 | 4.81 Mn |
| Sep 30, 2024 | 5.33 Mn |
| Jun 30, 2024 | 3.84 Mn |
| Mar 31, 2024 | 4.42 Mn |
| Dec 31, 2023 | 5.44 Mn |
| Sep 30, 2023 | 5.22 Mn |
| Jun 30, 2023 | 5.81 Mn |
| Mar 31, 2023 | 4.79 Mn |
| Dec 31, 2022 | 5.19 Mn |
| Sep 30, 2022 | 5.28 Mn |
| Jun 30, 2022 | 4.38 Mn |
| Mar 31, 2022 | 3.56 Mn |
| Dec 31, 2021 | 4.10 Mn |
| Sep 30, 2021 | 5.07 Mn |
API Access
Longeveron Operating 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=operating-expenses&ticker=LGVN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "LGVN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=LGVN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();