Orchestra BioMed Holdings (OBIO) Change in Accrued Expenses (2020 - 2026)
Orchestra BioMed Holdings' Change in Accured Expenses came in at -$253,000 for Q2 2026, compared with $1.09 million a year earlier.
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Analysis
Orchestra BioMed Holdings (OBIO) Change in Accrued Expenses (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Orchestra BioMed Holdings reported Change in Accured Expenses of $667,000, down 52.6% year-over-year; for FY2025, it was $4.87 million, up 63.9% from FY2024.
- Change in Accured Expenses carries a five-year compound annual growth rate of 176.4% (FY2020 to FY2025).
- Going back by year, Change in Accured Expenses was $2.97 million in FY2024, $145,000 in FY2023 (-95.7%), $3.35 million in FY2022 and $120,000 in FY2021 (+298.1%).
- The five-year range for quarterly Change in Accured Expenses is -$3.06 million (Q1 2026) to $3.73 million (Q2 2024).
- The fastest year-over-year change in Change in Accured Expenses over five years came in Q1 2022 (growth of 573.3%), and the weakest in Q2 2025 (a decline of 70.7%).
- Business Quant data shows OBIO's Change in Accured Expenses at -$3.06 million (Q1 2026), $566,000 (Q4 2025) and $3.41 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | - |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | - |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 30.00 Mn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 80.10 Mn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | -531.00 Mn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 77.00 Mn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 89.00 Mn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 67.20 Mn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 255.00 Mn |
| 10 | Orchestra BioMed Holdings | 352.13 Mn | -49.69 Mn | 63,000.00 | 851,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 851,000.00 |
| Jun 30, 2026 | -253,000.00 |
| Mar 31, 2026 | -3.06 Mn |
| Dec 31, 2025 | 566,000.00 |
| Sep 30, 2025 | 3.41 Mn |
| Jun 30, 2025 | 1.09 Mn |
| Mar 31, 2025 | -202,000.00 |
| Dec 31, 2024 | -712,000.00 |
| Sep 30, 2024 | 1.23 Mn |
| Jun 30, 2024 | 3.73 Mn |
| Mar 31, 2024 | -1.28 Mn |
| Dec 31, 2023 | 493,000.00 |
| Sep 30, 2023 | 668,000.00 |
| Jun 30, 2023 | 779,000.00 |
| Mar 31, 2023 | -1.80 Mn |
| Dec 31, 2022 | 1.06 Mn |
| Sep 30, 2022 | 1.62 Mn |
| Jun 30, 2022 | 30,000.00 |
| Mar 31, 2022 | 202,000.00 |
| Dec 31, 2021 | 30,000.00 |
API Access
Orchestra BioMed Holdings 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=OBIO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "OBIO", "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=OBIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();