Organogenesis Holdings (ORGO) Other Accumulated Expenses (2021 - 2024)
Organogenesis Holdings (ORGO) recorded Other Accumulated Expenses of $2.45 million in Q1 2024, up 24.9% from $1.96 million a year earlier and up 5.2% from the prior quarter.
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Analysis
Organogenesis Holdings (ORGO) Other Accumulated Expenses (2021 - 2024) Analysis & Trends
At the end of FY2023, Organogenesis Holdings reported Other Accumulated Expenses of $2.33 million, up 18.9% from FY2022.
- Across earlier years, Other Accumulated Expenses came in at $1.96 million in FY2022 (+0.9%) and $1.94 million in FY2021.
- The Q1 2024 figure is the highest quarterly Other Accumulated Expenses in data going back to Q4 2021.
- On a year-over-year basis, Other Accumulated Expenses has increased for four consecutive quarters, with growth averaging 12.7% over the last five quarters.
- Per Business Quant, the preceding three quarters came in at $2.33 million (Q4 2023), $2.2 million (Q3 2023) and $2.08 million (Q2 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn |
| 10 | Organogenesis Holdings | 122.01 Mn | -130.47 Mn | 23.56 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | 2.45 Mn |
| Dec 31, 2023 | 2.33 Mn |
| Sep 30, 2023 | 2.20 Mn |
| Jun 30, 2023 | 2.08 Mn |
| Mar 31, 2023 | 1.96 Mn |
| Dec 31, 2022 | 1.96 Mn |
| Sep 30, 2022 | 1.96 Mn |
| Jun 30, 2022 | 1.96 Mn |
| Dec 31, 2021 | 1.94 Mn |
API Access
Organogenesis Holdings Other Accumulated 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=other-accumulated-expenses&ticker=ORGO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "ORGO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=other-accumulated-expenses&ticker=ORGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();