Bloomia Holdings (TULP) Accumulated Expenses (2011 - 2023)
Bloomia Holdings' Accumulated Expenses was $2.03 million in fiscal Q2 2023 (quarter ended Jun 30, 2023).
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Analysis
Bloomia Holdings (TULP) Accumulated Expenses (2011 - 2023) Analysis & Trends
At the end of FY2013 (ended Dec 31, 2013), Accumulated Expenses at Bloomia Holdings came in at $1.74 million, down 5.6% from FY2012.
- In earlier fiscal years, Accumulated Expenses was $1.84 million in FY2012 (-3.0%) and $1.9 million in FY2011.
- The fiscal Q2 2023 figure marks the highest quarterly Accumulated Expenses in data going back to fiscal Q4 2011.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.51 Bn | 34.51 Bn | 1.94 Bn |
| 2 | Bunge Global | 19.78 Bn | 15.90 Bn | 1.68 Bn |
| 3 | Tyson Foods | 19.64 Bn | 15.89 Bn | 921.00 Mn |
| 4 | Jbs | 13.32 Bn | -19.95 Bn | 2.59 Bn |
| 5 | Darling Ingredients | 9.40 Bn | 8.94 Bn | 503.37 Mn |
| 6 | Smithfield Foods | 7.19 Bn | 2.14 Bn | 478.00 Mn |
| 7 | Pilgrims Pride | 6.60 Bn | 4.41 Bn | 339.75 Mn |
| 8 | Ingredion | 6.05 Bn | 2.22 Bn | 426.00 Mn |
| 9 | Seaboard | 3.62 Bn | -1.23 Bn | 221.00 Mn |
| 10 | Bloomia Holdings | 5.75 Mn | 357,879.93 | 655,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | 2.03 Mn |
| Sep 30, 2014 | 1.47 Mn |
| Jun 30, 2014 | 1.35 Mn |
| Mar 31, 2014 | 1.05 Mn |
| Dec 31, 2013 | 1.74 Mn |
| Sep 30, 2013 | 1.62 Mn |
| Jun 30, 2013 | 1.26 Mn |
| Mar 31, 2013 | 1.07 Mn |
| Dec 31, 2012 | 1.84 Mn |
| Sep 30, 2012 | 1.87 Mn |
| Jun 30, 2012 | 1.81 Mn |
| Mar 31, 2012 | 1.78 Mn |
| Dec 31, 2011 | 1.90 Mn |
API Access
Bloomia Holdings 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=accumulated-expenses&ticker=TULP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "TULP", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=TULP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();