Sight Sciences (SGHT) Tax Provisions (2020 - 2026)
Sight Sciences (SGHT) posted Tax Provisions of $28,000 for Q2 2026, down 30.0% from $40,000 a year earlier but up 154.5% from the prior quarter.
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Analysis
Sight Sciences (SGHT) Tax Provisions (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Tax Provisions at Sight Sciences was -$32,000; for FY2025, it was $10,000, down 95.8% from FY2024.
- Annual Tax Provisions shows a five-year compound annual growth rate of -30.3% (FY2020 to FY2025).
- In prior years, Sight Sciences' Tax Provisions was $236,000 in FY2024 (+114.5%), $110,000 in FY2023 (+134.0%), $47,000 in FY2022 (-75.0%) and $188,000 in FY2021 (+208.2%).
- Quarterly Tax Provisions has run from a low of -$79,000 in Q3 2025 to a high of $166,000 in Q3 2024 over five years.
- On a year-over-year basis, Tax Provisions has declined in each of the last three quarters, with growth averaging 74.1% over the last seven quarters.
- The strongest year-over-year quarter for Tax Provisions in the past five years was Q4 2021, with growth of 512.5%; the weakest was Q4 2022, with a decline of 89.8%.
- According to Business Quant data, Tax Provisions for the three prior quarters was $11,000 (Q1 2026), $8,000 (Q4 2025) and -$79,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 352.00 Mn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 311.00 Mn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | -75.00 Mn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 144.00 Mn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 289.00 Mn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 244.00 Mn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 153.00 Mn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 61.80 Mn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 68.00 Mn |
| 10 | Sight Sciences | 593.61 Mn | 259.53 Mn | 21.42 Mn | 11,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 11,000.00 |
| Jun 30, 2026 | 28,000.00 |
| Mar 31, 2026 | 11,000.00 |
| Dec 31, 2025 | 8,000.00 |
| Sep 30, 2025 | -79,000.00 |
| Jun 30, 2025 | 40,000.00 |
| Mar 31, 2025 | 41,000.00 |
| Dec 31, 2024 | 38,000.00 |
| Sep 30, 2024 | 166,000.00 |
| Jun 30, 2024 | 15,000.00 |
| Mar 31, 2024 | 17,000.00 |
| Dec 31, 2023 | 10,000.00 |
| Sep 30, 2023 | 78,000.00 |
| Jun 30, 2023 | 8,000.00 |
| Mar 31, 2023 | 14,000.00 |
| Dec 31, 2022 | 10,000.00 |
| Sep 30, 2022 | 19,000.00 |
| Jun 30, 2022 | 9,000.00 |
| Mar 31, 2022 | 9,000.00 |
| Dec 31, 2021 | 98,000.00 |
API Access
Sight 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=SGHT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=SGHT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();