Sight Sciences (SGHT) Other Accumulated Expenses (2020 - 2023)
Sight Sciences (SGHT) posted Other Accumulated Expenses of $1.46 million for Q3 2023, up 56.7% from $931,000 a year earlier and up 15.4% from the prior quarter.
Sight Sciences (SGHT) Other Accumulated Expenses (2020 - 2023) Analysis & Trends
At the end of FY2022, Sight Sciences' Other Accumulated Expenses came in at $1.09 million, up 66.0% from FY2021.
- In prior years, Sight Sciences' Other Accumulated Expenses was $655,000 in FY2021 (+46.9%) and $446,000 in FY2020.
- The Q3 2023 figure stands as the highest quarterly Other Accumulated Expenses in data going back to Q4 2020.
- On a year-over-year basis, Other Accumulated Expenses has increased in each of the last six quarters, with growth averaging 58.2% over the last seven quarters.
- According to Business Quant data, Other Accumulated Expenses for the three prior quarters was $1.26 million (Q2 2023), $892,000 (Q1 2023) and $1.09 million (Q4 2022).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn |
| 10 | Sight Sciences | 466.73 Mn | 117.68 Mn | 21.37 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 1.46 Mn |
| Jun 30, 2023 | 1.26 Mn |
| Mar 31, 2023 | 892,000.00 |
| Dec 31, 2022 | 1.09 Mn |
| Sep 30, 2022 | 931,000.00 |
| Jun 30, 2022 | 839,000.00 |
| Mar 31, 2022 | 741,000.00 |
| Dec 31, 2021 | 655,000.00 |
| Sep 30, 2021 | 510,000.00 |
| Jun 30, 2021 | 456,000.00 |
| Dec 31, 2020 | 446,000.00 |
Sight Sciences Other 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=other-accumulated-expenses&ticker=SGHT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "SGHT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-accumulated-expenses&ticker=SGHT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();