Sight Sciences (SGHT) Depreciation and Depletion (2020 - 2026)
Sight Sciences (SGHT) posted Depreciation and Depletion of $100,000 for Q2 2026, unchanged from $100,000 a year earlier and unchanged from the prior quarter.
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Analysis
Sight Sciences (SGHT) Depreciation and Depletion (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Depreciation and Depletion at Sight Sciences was $400,000, unchanged year-over-year; for FY2025, it was $300,000, down 40.0% from FY2024.
- Annual Depreciation and Depletion has declined for three consecutive years, with a five-year compound annual growth rate of -12.9% (FY2020 to FY2025).
- In prior years, Sight Sciences' Depreciation and Depletion was $500,000 in FY2024 (-16.7%), $600,000 in FY2023 (-15.5%), $710,000 in FY2022 (+12.3%) and $632,000 in FY2021 (+5.3%).
- Quarterly Depreciation and Depletion has run from a low of $100,000 in Q1 2023 to a high of $200,000 in Q3 2023 over five years.
- The strongest year-over-year quarter for Depreciation and Depletion in the past five years was Q3 2021, with growth of 100.0%; the weakest was Q1 2023, with a decline of 50.0%.
- According to Business Quant data, Depreciation and Depletion for the three prior quarters was $100,000 (Q1 2026), $100,000 (Q4 2025) and $100,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 307.00 Mn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 415.00 Mn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 208.00 Mn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 187.80 Mn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 317.00 Mn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 120.00 Mn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 128.00 Mn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | - |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | - |
| 10 | Sight Sciences | 593.61 Mn | 259.53 Mn | 21.42 Mn | 100,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 100,000.00 |
| Jun 30, 2026 | 100,000.00 |
| Mar 31, 2026 | 100,000.00 |
| Dec 31, 2025 | 100,000.00 |
| Sep 30, 2025 | 100,000.00 |
| Jun 30, 2025 | 100,000.00 |
| Mar 31, 2025 | 100,000.00 |
| Dec 31, 2024 | 100,000.00 |
| Sep 30, 2024 | 100,000.00 |
| Jun 30, 2024 | 100,000.00 |
| Mar 31, 2024 | 100,000.00 |
| Dec 31, 2023 | 100,000.00 |
| Sep 30, 2023 | 200,000.00 |
| Jun 30, 2023 | 100,000.00 |
| Mar 31, 2023 | 100,000.00 |
| Dec 31, 2022 | 110,000.00 |
| Sep 30, 2022 | 200,000.00 |
| Jun 30, 2022 | 200,000.00 |
| Mar 31, 2022 | 200,000.00 |
| Dec 31, 2021 | 132,000.00 |
API Access
Sight Sciences Depreciation and Depletion 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=depreciation-and-depletion&ticker=SGHT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=SGHT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();