Talphera (TLPH) Operating Expenses (2010 - 2026)
Talphera (TLPH) recorded Operating Expenses of $3.92 million in Q2 2026, up 6.3% from $3.69 million a year earlier but down 0.6% from the prior quarter.
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Analysis
Talphera (TLPH) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Talphera's Operating Expenses came in at $14.75 million as of Jun 30, 2026, up 10.2% year-over-year; for FY2025, it came in at $13.51 million, down 11.4% from FY2024.
- Annual Operating Expenses has declined for six straight years, with a five-year compound annual growth rate of -21.9% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $15.25 million in FY2024 (-13.0%), $17.54 million in FY2023 (-30.7%), $25.3 million in FY2022 (-34.8%) and $38.78 million in FY2021 (-16.4%).
- Quarterly Operating Expenses has ranged from $2.94 million in Q1 2025 to $10.5 million in Q3 2021 over the past five years.
- On a year-over-year basis, Operating Expenses has increased for three consecutive quarters, with an average decline of 2.8% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 34.1% in Q1 2026, against a decline of 57.6% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $3.95 million (Q1 2026), $3.45 million (Q4 2025) and $3.42 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 7.95 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 10.12 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 10.56 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 12.80 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 6.09 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 9.70 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 6.54 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 18.20 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 6.68 Bn |
| 10 | Talphera | 80.06 Mn | 62.98 Mn | - | 3.92 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.92 Mn |
| Mar 31, 2026 | 3.95 Mn |
| Dec 31, 2025 | 3.45 Mn |
| Sep 30, 2025 | 3.42 Mn |
| Jun 30, 2025 | 3.69 Mn |
| Mar 31, 2025 | 2.94 Mn |
| Dec 31, 2024 | 3.00 Mn |
| Sep 30, 2024 | 3.75 Mn |
| Jun 30, 2024 | 4.27 Mn |
| Mar 31, 2024 | 4.24 Mn |
| Dec 31, 2023 | 4.56 Mn |
| Sep 30, 2023 | 3.43 Mn |
| Jun 30, 2023 | 4.22 Mn |
| Mar 31, 2023 | 5.33 Mn |
| Dec 31, 2022 | 5.89 Mn |
| Sep 30, 2022 | 4.52 Mn |
| Jun 30, 2022 | 9.96 Mn |
| Mar 31, 2022 | 4.94 Mn |
| Dec 31, 2021 | 8.18 Mn |
| Sep 30, 2021 | 10.50 Mn |
API Access
Talphera 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=TLPH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "TLPH", "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=TLPH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();