Sight Sciences (SGHT) Accounts Payables (2020 - 2026)
Sight Sciences (SGHT) recorded Accounts Payables of $3.81 million in Q2 2026, down 17.9% from $4.63 million a year earlier and down 58.6% from the prior quarter.
Sight Sciences (SGHT) Accounts Payables (2020 - 2026) Analysis & Trends
At the end of FY2025, Sight Sciences reported Accounts Payables of $3.61 million, down 11.9% from FY2024.
- Annual Accounts Payables has a five-year compound annual growth rate of 3.2% (FY2020 to FY2025).
- Across earlier years, Accounts Payables came in at $4.1 million in FY2024 (+8.6%), $3.77 million in FY2023 (-51.5%), $7.78 million in FY2022 (+86.7%) and $4.17 million in FY2021 (+35.0%).
- Quarterly Accounts Payables has ranged from $3.61 million in Q4 2025 to $9.19 million in Q1 2026 over the past five years.
- On a year-over-year basis, Accounts Payables rose in two of the last eight quarters, with growth averaging 2.0%.
- Peak year-over-year performance for Accounts Payables in the last five years was growth of 117.1% in Q1 2026, against a decline of 51.5% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $9.19 million (Q1 2026), $3.61 million (Q4 2025) and $3.9 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 3.27 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 4.79 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 1.82 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 277.20 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 2.70 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 1.66 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 1.23 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 210.50 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 6.11 Bn |
| 10 | Sight Sciences | 512.14 Mn | 163.09 Mn | 21.37 Mn | 3.81 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.81 Mn |
| Mar 31, 2026 | 9.19 Mn |
| Dec 31, 2025 | 3.61 Mn |
| Sep 30, 2025 | 3.90 Mn |
| Jun 30, 2025 | 4.63 Mn |
| Mar 31, 2025 | 4.23 Mn |
| Dec 31, 2024 | 4.10 Mn |
| Sep 30, 2024 | 4.61 Mn |
| Jun 30, 2024 | 5.97 Mn |
| Mar 31, 2024 | 6.00 Mn |
| Dec 31, 2023 | 3.77 Mn |
| Sep 30, 2023 | 5.30 Mn |
| Jun 30, 2023 | 5.39 Mn |
| Mar 31, 2023 | 6.69 Mn |
| Dec 31, 2022 | 7.78 Mn |
| Sep 30, 2022 | 6.15 Mn |
| Jun 30, 2022 | 5.19 Mn |
| Mar 31, 2022 | 5.07 Mn |
| Dec 31, 2021 | 4.17 Mn |
| Sep 30, 2021 | 3.84 Mn |
Sight Sciences Accounts Payables 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=accounts-payables&ticker=SGHT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "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=accounts-payables&ticker=SGHT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();