Sight Sciences (SGHT) Total Non-Current Liabilities (2020 - 2026)
Sight Sciences (SGHT) recorded Total Non-Current Liabilities of $51.14 million in Q2 2026, down 1.2% from $51.76 million a year earlier and down 6.8% from the prior quarter.
Powered by 
Analysis
Sight Sciences (SGHT) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Sight Sciences reported Total Non-Current Liabilities of $51.33 million, down 6.4% from FY2024.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of -20.2% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $54.82 million in FY2024 (+24.7%), $43.96 million in FY2023 (-14.0%), $51.13 million in FY2022 (+10.8%) and $46.16 million in FY2021 (-70.9%).
- The Q2 2026 figure is the lowest quarterly Total Non-Current Liabilities since Q3 2024.
- On a year-over-year basis, Total Non-Current Liabilities rose in five of the last eight quarters, with growth averaging 6.9%.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 24.7% in Q4 2024, against a decline of 90.5% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $54.9 million (Q1 2026), $51.33 million (Q4 2025) and $51.9 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 55.95 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | - |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 33.25 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 40.46 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 21.28 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 17.56 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 2.57 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 23.92 Bn |
| 10 | Sight Sciences | 512.14 Mn | 163.09 Mn | 21.37 Mn | 51.14 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 51.14 Mn |
| Mar 31, 2026 | 54.90 Mn |
| Dec 31, 2025 | 51.33 Mn |
| Sep 30, 2025 | 51.90 Mn |
| Jun 30, 2025 | 51.76 Mn |
| Mar 31, 2025 | 51.71 Mn |
| Dec 31, 2024 | 54.82 Mn |
| Sep 30, 2024 | 47.95 Mn |
| Jun 30, 2024 | 47.06 Mn |
| Mar 31, 2024 | 45.39 Mn |
| Dec 31, 2023 | 43.96 Mn |
| Sep 30, 2023 | 48.10 Mn |
| Jun 30, 2023 | 47.66 Mn |
| Mar 31, 2023 | 48.60 Mn |
| Dec 31, 2022 | 51.13 Mn |
| Sep 30, 2022 | 50.54 Mn |
| Jun 30, 2022 | 47.18 Mn |
| Mar 31, 2022 | 44.82 Mn |
| Dec 31, 2021 | 46.16 Mn |
| Sep 30, 2021 | 534.75 Mn |
API Access
Sight Sciences Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=SGHT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=SGHT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();