Sight Sciences (SGHT) Depreciation & Amortization (CF) (2020 - 2026)
Sight Sciences (SGHT) reported Depreciation & Amortization (CF) of $94,000 for Q2 2026, down 24.8% from $125,000 a year earlier and down 8.7% from the prior quarter.
Sight Sciences (SGHT) Depreciation & Amortization (CF) (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Sight Sciences' Depreciation & Amortization (CF) came in at $410,000, down 32.6% year-over-year; for FY2025, it was $487,000, down 31.6% from FY2024.
- Depreciation & Amortization (CF) has a five-year compound annual growth rate of -4.1% (FY2020 to FY2025).
- By year, Depreciation & Amortization (CF) came in at $712,000 in FY2024 (+16.0%), $614,000 in FY2023 (-13.5%), $710,000 in FY2022 (+12.3%) and $632,000 in FY2021 (+5.3%).
- The Q2 2026 figure ranks as the lowest quarterly Depreciation & Amortization (CF) in data going back to Q2 2020.
- Year over year, Depreciation & Amortization (CF) has now declined in each of the last six quarters, with an average decline of 21.7% over the last eight quarters.
- The high point for year-over-year Depreciation & Amortization (CF) in five years was Q3 2021 (growth of 100.0%); the low point was Q4 2025 (a decline of 38.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $103,000 (Q1 2026), $108,000 (Q4 2025) and $105,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 331.00 Mn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 402.00 Mn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 196.00 Mn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 192.30 Mn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 729.00 Mn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 121.00 Mn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 355.00 Mn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 42.70 Mn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 564.00 Mn |
| 10 | Sight Sciences | 466.73 Mn | 117.68 Mn | 21.37 Mn | 94,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 94,000.00 |
| Mar 31, 2026 | 103,000.00 |
| Dec 31, 2025 | 108,000.00 |
| Sep 30, 2025 | 105,000.00 |
| Jun 30, 2025 | 125,000.00 |
| Mar 31, 2025 | 149,000.00 |
| Dec 31, 2024 | 176,000.00 |
| Sep 30, 2024 | 158,000.00 |
| Jun 30, 2024 | 186,000.00 |
| Mar 31, 2024 | 192,000.00 |
| Dec 31, 2023 | 159,000.00 |
| Sep 30, 2023 | 160,000.00 |
| Jun 30, 2023 | 149,000.00 |
| Mar 31, 2023 | 146,000.00 |
| 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 |
| Sep 30, 2021 | 200,000.00 |
Sight Sciences Depreciation & Amortization (CF) 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-amortization-cf&ticker=SGHT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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-amortization-cf&ticker=SGHT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();