Wave Life Sciences (WVE) Tax Provisions (2014 - 2023)
Wave Life Sciences' Tax Provisions was $23,000 in Q4 2023, down 96.6% from $681,000 a year earlier.
Analysis
Wave Life Sciences (WVE) Tax Provisions (2014 - 2023) Analysis & Trends
For FY2023, Tax Provisions at Wave Life Sciences came in at -$677,000.
- In earlier years, Tax Provisions was $681,000 in FY2022, -$204,000 in FY2021 and -$841,000 in FY2020.
- Quarterly Tax Provisions has moved between -$841,000 (Q4 2020) and $681,000 (Q4 2022) over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 1.21 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 662.00 Mn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 654.00 Mn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | -1.01 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -291.00 Mn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 393.00 Mn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 242.00 Mn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | -407.00 Mn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 292.00 Mn |
| 10 | Wave Life Sciences | 715.13 Mn | -995.77 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 23,000.00 |
| Sep 30, 2023 | -700,000.00 |
| Dec 31, 2022 | 681,000.00 |
| Dec 31, 2021 | -204,000.00 |
| Dec 31, 2020 | -841,000.00 |
| Dec 31, 2018 | -100,000.00 |
| Mar 31, 2018 | 172,000.00 |
| Dec 31, 2017 | -193,000.00 |
| Sep 30, 2017 | -418,000.00 |
| Jun 30, 2017 | 343,000.00 |
| Mar 31, 2017 | 1.11 Mn |
| Dec 31, 2016 | 55,000.00 |
| Sep 30, 2016 | 384,000.00 |
| Jun 30, 2016 | 48,000.00 |
| Mar 31, 2016 | -5,000.00 |
| Dec 31, 2015 | -138,000.00 |
| Sep 30, 2015 | 83,000.00 |
| Jun 30, 2015 | 49,000.00 |
| Mar 31, 2015 | 50,000.00 |
| Dec 31, 2014 | -10,000.00 |
API Access
Wave Life Sciences 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=WVE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "ticker": "WVE", "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=WVE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();