Sight Sciences (SGHT) Prepaid Assets (2020 - 2026)
Sight Sciences' Prepaid Assets was $4.61 million in Q2 2026, up 119.0% from $2.1 million a year earlier and up 16.7% from the prior quarter.
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Analysis
Sight Sciences (SGHT) Prepaid Assets (2020 - 2026) Analysis & Trends
At the end of FY2025, Prepaid Assets at Sight Sciences came in at $3.26 million, up 41.2% from FY2024.
- Prepaid Assets shows a five-year compound annual growth rate of 22.9% (FY2020 to FY2025).
- In earlier years, Prepaid Assets was $2.31 million in FY2024 (-11.4%), $2.6 million in FY2023 (-23.7%), $3.42 million in FY2022 (-18.0%) and $4.16 million in FY2021 (+258.7%).
- The Q2 2026 figure marks the highest quarterly Prepaid Assets in data going back to Q4 2020.
- Compared with a year earlier, Prepaid Assets has increased for six straight quarters, with growth averaging 34.6% over the last eight quarters.
- The best year-over-year quarter for Prepaid Assets over five years was Q4 2021 (growth of 258.7%); the worst was Q3 2023 (a decline of 34.3%).
- Per Business Quant data, SGHT's Prepaid Assets in the three quarters before Q2 2026 was $3.95 million (Q1 2026), $3.26 million (Q4 2025) and $3.49 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn |
| 10 | Sight Sciences | 512.14 Mn | 163.09 Mn | 21.37 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.61 Mn |
| Mar 31, 2026 | 3.95 Mn |
| Dec 31, 2025 | 3.26 Mn |
| Sep 30, 2025 | 3.49 Mn |
| Jun 30, 2025 | 2.10 Mn |
| Mar 31, 2025 | 2.91 Mn |
| Dec 31, 2024 | 2.31 Mn |
| Sep 30, 2024 | 2.89 Mn |
| Jun 30, 2024 | 1.45 Mn |
| Mar 31, 2024 | 2.29 Mn |
| Dec 31, 2023 | 2.60 Mn |
| Sep 30, 2023 | 2.90 Mn |
| Jun 30, 2023 | 1.80 Mn |
| Mar 31, 2023 | 2.82 Mn |
| Dec 31, 2022 | 3.42 Mn |
| Sep 30, 2022 | 4.41 Mn |
| Jun 30, 2022 | 2.04 Mn |
| Mar 31, 2022 | 2.69 Mn |
| Dec 31, 2021 | 4.16 Mn |
| Sep 30, 2021 | 4.49 Mn |
API Access
Sight Sciences Prepaid Assets 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=prepaid-assets&ticker=SGHT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=SGHT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();