Sight Sciences (SGHT) Non-Current Debt (2020 - 2026)
Sight Sciences' Non-Current Debt came in at $30.65 million for Q2 2026, down 23.0% from $39.82 million a year earlier and down 16.6% from the prior quarter.
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Analysis
Sight Sciences (SGHT) Non-Current Debt (2020 - 2026) Analysis & Trends
At the end of FY2025, Sight Sciences' Non-Current Debt was $40.3 million, up 2.4% from FY2024.
- Non-Current Debt carries a five-year compound annual growth rate of 4.7% (FY2020 to FY2025).
- Going back by year, Non-Current Debt was $39.36 million in FY2024 (+24.1%), $31.71 million in FY2023 (-4.8%), $33.31 million in FY2022 (+2.0%) and $32.66 million in FY2021 (+2.2%).
- The Q2 2026 figure represents the lowest quarterly Non-Current Debt in data going back to Q4 2020.
- Year-over-year, Non-Current Debt increased in six of the last eight quarters, with growth averaging 6.3%.
- The fastest year-over-year change in Non-Current Debt over five years came in Q4 2024 (growth of 24.1%), and the weakest in Q2 2026 (a decline of 23.0%).
- Business Quant data shows SGHT's Non-Current Debt at $36.74 million (Q1 2026), $40.3 million (Q4 2025) and $40.07 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.70 Bn | 229.72 Bn | 4.88 Bn | 39.18 Bn |
| 2 | Abbott Laboratories | 178.25 Bn | 148.68 Bn | 7.27 Bn | 29.60 Bn |
| 3 | Danaher | 161.47 Bn | 145.28 Bn | 3.61 Bn | 25.15 Bn |
| 4 | Intuitive Surgical | 154.35 Bn | 134.64 Bn | 2.08 Bn | - |
| 5 | Medtronic | 122.73 Bn | 87.98 Bn | 6.34 Bn | 25.62 Bn |
| 6 | Stryker | 117.02 Bn | 103.14 Bn | 4.50 Bn | 14.19 Bn |
| 7 | Boston Scientific | 67.19 Bn | 61.96 Bn | 3.85 Bn | 10.92 Bn |
| 8 | Becton Dickinson | 54.70 Bn | 51.85 Bn | 2.32 Bn | 13.51 Bn |
| 9 | Edwards Lifesciences | 51.62 Bn | 35.63 Bn | 1.35 Bn | 598.70 Mn |
| 10 | Sight Sciences | 487.01 Mn | 137.96 Mn | 21.37 Mn | 30.65 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 30.65 Mn |
| Mar 31, 2026 | 36.74 Mn |
| Dec 31, 2025 | 40.30 Mn |
| Sep 30, 2025 | 40.07 Mn |
| Jun 30, 2025 | 39.82 Mn |
| Mar 31, 2025 | 39.58 Mn |
| Dec 31, 2024 | 39.36 Mn |
| Sep 30, 2024 | 34.15 Mn |
| Jun 30, 2024 | 33.77 Mn |
| Mar 31, 2024 | 33.70 Mn |
| Dec 31, 2023 | 31.71 Mn |
| Sep 30, 2023 | 33.77 Mn |
| Jun 30, 2023 | 33.61 Mn |
| Mar 31, 2023 | 33.46 Mn |
| Dec 31, 2022 | 33.31 Mn |
| Sep 30, 2022 | 33.16 Mn |
| Jun 30, 2022 | 32.98 Mn |
| Mar 31, 2022 | 32.82 Mn |
| Dec 31, 2021 | 32.66 Mn |
| Sep 30, 2021 | 32.49 Mn |
API Access
Sight Sciences Non-Current Debt 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=non-current-debt&ticker=SGHT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=SGHT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();