Sight Sciences (SGHT) Inventory (2020 - 2026)
Sight Sciences (SGHT) posted Inventory of $5.7 million for Q2 2026, down 8.4% from $6.21 million a year earlier and down 18.7% from the prior quarter.
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Analysis
Sight Sciences (SGHT) Inventory (2020 - 2026) Analysis & Trends
At the end of FY2025, Sight Sciences' Inventory came in at $7.77 million, up 22.8% from FY2024.
- Annual Inventory shows a five-year compound annual growth rate of 24.5% (FY2020 to FY2025).
- In prior years, Sight Sciences' Inventory was $6.33 million in FY2024 (-19.4%), $7.85 million in FY2023 (+28.4%), $6.11 million in FY2022 (+75.9%) and $3.48 million in FY2021 (+33.8%).
- The Q2 2026 figure stands as the lowest quarterly Inventory since Q3 2022.
- On a year-over-year basis, Inventory increased in three of the last eight quarters, with an average decline of 1.4%.
- The strongest year-over-year quarter for Inventory in the past five years was Q2 2022, with growth of 91.8%; the weakest was Q3 2024, with a decline of 34.1%.
- According to Business Quant data, Inventory for the three prior quarters was $7.01 million (Q1 2026), $7.77 million (Q4 2025) and $7.98 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | 5.63 Bn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | 7.32 Bn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | 3.26 Bn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | 2.03 Bn |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | 6.22 Bn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | 5.52 Bn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 3.24 Bn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 3.32 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 1.13 Bn |
| 10 | Sight Sciences | 475.84 Mn | 126.78 Mn | 21.37 Mn | 5.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.70 Mn |
| Mar 31, 2026 | 7.01 Mn |
| Dec 31, 2025 | 7.77 Mn |
| Sep 30, 2025 | 7.98 Mn |
| Jun 30, 2025 | 6.21 Mn |
| Mar 31, 2025 | 5.81 Mn |
| Dec 31, 2024 | 6.33 Mn |
| Sep 30, 2024 | 6.09 Mn |
| Jun 30, 2024 | 6.78 Mn |
| Mar 31, 2024 | 6.87 Mn |
| Dec 31, 2023 | 7.85 Mn |
| Sep 30, 2023 | 9.24 Mn |
| Jun 30, 2023 | 7.91 Mn |
| Mar 31, 2023 | 7.14 Mn |
| Dec 31, 2022 | 6.11 Mn |
| Sep 30, 2022 | 5.52 Mn |
| Jun 30, 2022 | 4.94 Mn |
| Mar 31, 2022 | 4.08 Mn |
| Dec 31, 2021 | 3.48 Mn |
| Sep 30, 2021 | 2.95 Mn |
API Access
Sight Sciences Inventory 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=inventory&ticker=SGHT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=SGHT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();