Bloomia Holdings (TULP) Other Operating Expenses (2009 - 2024)
Bloomia Holdings' Other Operating Expenses came in at -$5.18 million for fiscal Q1 2027 (quarter ended Sep 30, 2026).
Bloomia Holdings (TULP) Other Operating Expenses (2009 - 2024) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Bloomia Holdings reported Other Operating Expenses of -$43.23 million; for FY2026 (ended Jun 30, 2026), it was -$40.24 million.
- Going back by fiscal year, Other Operating Expenses was -$26.34 million in FY2025, -$31.26 million in FY2024, -$16.09 million in FY2023 and -$15.5 million in FY2022.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 34.69 Bn | 31.46 Bn | 1.89 Bn |
| 2 | Tyson Foods | 20.70 Bn | 17.06 Bn | 921.00 Mn |
| 3 | Bunge Global | 19.53 Bn | 17.95 Bn | 1.33 Bn |
| 4 | Jbs | 13.49 Bn | -2.10 Bn | 2.41 Bn |
| 5 | Darling Ingredients | 8.67 Bn | 8.25 Bn | 477.54 Mn |
| 6 | Smithfield Foods | 7.56 Bn | 2.38 Bn | 313.00 Mn |
| 7 | Pilgrims Pride | 6.70 Bn | 4.20 Bn | 333.67 Mn |
| 8 | Ingredion | 5.86 Bn | 1.97 Bn | 399.00 Mn |
| 9 | Scotts Miracle-Gro | 3.71 Bn | 3.71 Bn | - |
| 10 | Bloomia Holdings | 11.93 Mn | 7.60 Mn | -221,000.00 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | 3,000.00 |
| Jun 30, 2024 | 9,000.00 |
| Mar 31, 2024 | 9,000.00 |
| Dec 31, 2023 | 926,000.00 |
| Dec 31, 2022 | 24.00 Mn |
| Sep 30, 2022 | -12.00 Mn |
| Jun 30, 2022 | 569,000.00 |
| Mar 31, 2022 | -3,000.00 |
| Dec 31, 2021 | -27,000.00 |
| Jun 30, 2021 | 725,000.00 |
| Mar 31, 2021 | 27,000.00 |
| Dec 31, 2020 | -1.15 Mn |
| Sep 30, 2020 | -825,000.00 |
| Jun 30, 2020 | -980,000.00 |
| Mar 31, 2020 | -993,000.00 |
| Dec 31, 2019 | -881,000.00 |
| Sep 30, 2019 | -865,000.00 |
| Jun 30, 2019 | -870,000.00 |
| Mar 31, 2019 | -708,000.00 |
| Dec 31, 2018 | 1.70 Mn |
Bloomia Holdings Other Operating 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-operating-expenses&ticker=TULP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=TULP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();