Talphera (TLPH) Tax Provisions (2015 - 2023)
Talphera (TLPH) reported Tax Provisions of -$5,000 for Q4 2023, compared with -$1,000 a year earlier.
Analysis
Talphera (TLPH) Tax Provisions (2015 - 2023) Analysis & Trends
For FY2022, Talphera posted Tax Provisions of $13,000, up 160.0% from FY2021.
- Tax Provisions has increased for four consecutive years.
- By year, Tax Provisions came in at $5,000 in FY2021 (+25.0%), $4,000 in FY2020 (+33.3%), $3,000 in FY2019 (+50.0%) and $2,000 in FY2018.
- The Q4 2023 figure ranks as the lowest quarterly Tax Provisions since Q4 2017.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,130.22 Bn | 1,098.81 Bn | 19.71 Bn | 2.15 Bn |
| 2 | Johnson & Johnson | 613.62 Bn | 532.15 Bn | 17.26 Bn | 1.21 Bn |
| 3 | AbbVie | 501.46 Bn | 474.57 Bn | 12.70 Bn | 662.00 Mn |
| 4 | Merck | 366.84 Bn | 321.22 Bn | 12.21 Bn | 654.00 Mn |
| 5 | Novartis Ag | 297.85 Bn | 261.84 Bn | 11.24 Bn | 1.01 Bn |
| 6 | Astrazeneca | 261.66 Bn | 235.34 Bn | 12.86 Bn | 291.00 Mn |
| 7 | Amgen | 235.39 Bn | 190.79 Bn | 7.24 Bn | 393.00 Mn |
| 8 | Gilead Sciences | 190.66 Bn | 164.86 Bn | 6.22 Bn | 242.00 Mn |
| 9 | Pfizer | 169.57 Bn | 116.22 Bn | 10.94 Bn | -407.00 Mn |
| 10 | Talphera | 82.70 Mn | 65.63 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | -5,000.00 |
| Sep 30, 2023 | 2,000.00 |
| Jun 30, 2023 | 3,000.00 |
| Dec 31, 2022 | -1,000.00 |
| Sep 30, 2022 | 11,000.00 |
| Jun 30, 2022 | 3,000.00 |
| Jun 30, 2021 | 5,000.00 |
| Jun 30, 2020 | 4,000.00 |
| Jun 30, 2019 | 3,000.00 |
| Jun 30, 2018 | 2,000.00 |
| Dec 31, 2017 | -703,000.00 |
| Jun 30, 2017 | 2,000.00 |
| Sep 30, 2016 | -36,000.00 |
| Mar 31, 2016 | 2,000.00 |
| Dec 31, 2015 | -12,000.00 |
| Sep 30, 2015 | 772,000.00 |
API Access
Talphera Tax Provisions 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=tax-provisions&ticker=TLPH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=TLPH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();