Sight Sciences (SGHT) Accumulated Expenses (2020 - 2023)
Sight Sciences' Accumulated Expenses was $2.55 million in Q3 2023, down 41.4% from $4.35 million a year earlier and down 5.0% from the prior quarter.
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Analysis
Sight Sciences (SGHT) Accumulated Expenses (2020 - 2023) Analysis & Trends
At the end of FY2022, Accumulated Expenses at Sight Sciences came in at $5.31 million, up 94.7% from FY2021.
- In earlier years, Accumulated Expenses was $2.73 million in FY2021 (+38.3%) and $1.97 million in FY2020.
- The Q3 2023 figure marks the lowest quarterly Accumulated Expenses since Q4 2020.
- Compared with a year earlier, Accumulated Expenses was higher in four of the last seven quarters, with growth averaging 21.6%.
- Per Business Quant data, SGHT's Accumulated Expenses in the three quarters before Q3 2023 was $2.69 million (Q2 2023), $4.36 million (Q1 2023) and $5.31 million (Q4 2022).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 2.55 Mn |
| Jun 30, 2023 | 2.69 Mn |
| Mar 31, 2023 | 4.36 Mn |
| Dec 31, 2022 | 5.31 Mn |
| Sep 30, 2022 | 4.35 Mn |
| Jun 30, 2022 | 3.53 Mn |
| Mar 31, 2022 | 3.52 Mn |
| Dec 31, 2021 | 2.73 Mn |
| Sep 30, 2021 | 2.57 Mn |
| Jun 30, 2021 | 3.92 Mn |
| Dec 31, 2020 | 1.97 Mn |
API Access
Sight Sciences 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=accumulated-expenses&ticker=SGHT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=accumulated-expenses&ticker=SGHT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();