Sight Sciences (SGHT) Total Debt (2020 - 2026)
Sight Sciences' Total Debt came in at $40.78 million for Q2 2026, up 2.4% from $39.82 million a year earlier and up 0.6% from the prior quarter.
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Analysis
Sight Sciences (SGHT) Total Debt (2020 - 2026) Analysis & Trends
At the end of FY2025, Sight Sciences' Total Debt was $40.3 million, up 2.4% from FY2024.
- Total Debt has increased in each of the last five years, with a five-year compound annual growth rate of 4.7% (FY2020 to FY2025).
- Going back by year, Total Debt was $39.36 million in FY2024 (+16.0%), $33.93 million in FY2023 (+1.8%), $33.31 million in FY2022 (+2.0%) and $32.66 million in FY2021 (+2.2%).
- The Q2 2026 figure represents the highest quarterly Total Debt in data going back to Q4 2020.
- Year-over-year, Total Debt has increased for 17 consecutive quarters, with growth averaging 9.6% over the last eight quarters.
- Across the past five years, year-over-year growth in Total Debt ran from 0.5% in Q2 2024 to 17.9% in Q2 2025.
- Business Quant data shows SGHT's Total Debt at $40.53 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) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 42.55 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 32.61 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 26.56 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | - |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 28.15 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 14.94 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 12.62 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 598.70 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 16.81 Bn |
| 10 | Sight Sciences | 511.60 Mn | 162.54 Mn | 21.37 Mn | 40.78 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 40.78 Mn |
| Mar 31, 2026 | 40.53 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 | 33.93 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 Total 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=total-debt&ticker=SGHT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-debt&ticker=SGHT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();