Quantum-Si (QSI) Change in Accrued Expenses (2020 - 2026)
Quantum-Si's Change in Accrued Expenses was $1.94 million in Q2 2026, up 129.2% from $847,000 a year earlier.
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Analysis
Quantum-Si (QSI) Change in Accrued Expenses (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Quantum-Si's Change in Accrued Expenses was -$830,000 through Jun 30, 2026; for FY2025, it came in at -$1.5 million.
- In earlier years, Change in Accrued Expenses was $4.02 million in FY2024, -$1.84 million in FY2023, $4.01 million in FY2022 (-10.9%) and $4.5 million in FY2021 (+922.3%).
- The Q2 2026 figure marks the highest quarterly Change in Accrued Expenses since Q4 2024.
- Compared with a year earlier, Change in Accrued Expenses was higher in three of the last six quarters, with growth averaging 84.3%.
- The best year-over-year quarter for Change in Accrued Expenses over five years was Q3 2024 (growth of 361.8%); the worst was Q2 2022 (a decline of 76.4%).
- Per Business Quant data, QSI's Change in Accrued Expenses in the three quarters before Q2 2026 was -$4.05 million (Q1 2026), $788,000 (Q4 2025) and $494,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 258.23 Bn | 234.75 Bn | 5.13 Bn | - |
| 2 | Abbott Laboratories | 189.69 Bn | 163.55 Bn | 7.39 Bn | - |
| 3 | Danaher | 161.73 Bn | 141.39 Bn | 3.84 Bn | 30.00 Mn |
| 4 | Intuitive Surgical | 159.20 Bn | 139.49 Bn | 2.08 Bn | 80.10 Mn |
| 5 | Medtronic | 130.49 Bn | 95.74 Bn | 6.34 Bn | -531.00 Mn |
| 6 | Stryker | 125.08 Bn | 111.27 Bn | 4.25 Bn | 77.00 Mn |
| 7 | Boston Scientific | 63.06 Bn | 58.50 Bn | 3.43 Bn | 89.00 Mn |
| 8 | Edwards Lifesciences | 59.30 Bn | 42.51 Bn | 1.35 Bn | 67.20 Mn |
| 9 | Becton Dickinson | 58.40 Bn | 55.55 Bn | 2.32 Bn | - |
| 10 | Quantum-Si | 287.96 Mn | -217.53 Mn | 74,000.00 | -7,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -7,000.00 |
| Jun 30, 2026 | 1.94 Mn |
| Mar 31, 2026 | -4.05 Mn |
| Dec 31, 2025 | 788,000.00 |
| Sep 30, 2025 | 494,000.00 |
| Jun 30, 2025 | 847,000.00 |
| Mar 31, 2025 | -3.62 Mn |
| Dec 31, 2024 | 2.68 Mn |
| Sep 30, 2024 | 1.86 Mn |
| Jun 30, 2024 | 2.58 Mn |
| Mar 31, 2024 | -3.09 Mn |
| Dec 31, 2023 | 821,000.00 |
| Sep 30, 2023 | 403,000.00 |
| Jun 30, 2023 | 1.48 Mn |
| Mar 31, 2023 | -4.54 Mn |
| Dec 31, 2022 | 1.79 Mn |
| Sep 30, 2022 | 1.41 Mn |
| Jun 30, 2022 | 103,000.00 |
| Mar 31, 2022 | 707,000.00 |
| Dec 31, 2021 | 1.87 Mn |
API Access
Quantum-Si Change in Accrued Expenses 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=change-in-accured-expenses&ticker=QSI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "QSI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=change-in-accured-expenses&ticker=QSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();