Bloomia Holdings (TULP) Return on Sales [ROS] (2010 - 2026)
Bloomia Holdings' Return on Sales [ROS] was -52.81% in fiscal Q4 2026 (quarter ended Jun 30, 2026), down 52.67 percentage points from the prior quarter.
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Analysis
Bloomia Holdings (TULP) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Return on Sales [ROS] at Bloomia Holdings came in at -35.04%.
- Return on Sales [ROS] shows a five-year change of -10.48 percentage points (FY2021 to FY2026).
- In earlier fiscal years, Return on Sales [ROS] was -44.84% in FY2025 (-27.05 pp), -17.78% in FY2024 and -12.99% in FY2022 (+11.58 pp).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.27 Bn | 34.56 Bn | 1.94 Bn | 3.95% |
| 2 | Bunge Global | 20.55 Bn | 18.06 Bn | 1.68 Bn | 4.47% |
| 3 | Tyson Foods | 17.78 Bn | 14.14 Bn | 921.00 Mn | 2.61% |
| 4 | Jbs | 12.53 Bn | -20.58 Bn | 2.59 Bn | 2.50% |
| 5 | Darling Ingredients | 9.59 Bn | 9.18 Bn | 503.37 Mn | 32.20% |
| 6 | Smithfield Foods | 7.37 Bn | 2.32 Bn | 478.00 Mn | 7.84% |
| 7 | Pilgrims Pride | 6.43 Bn | 4.26 Bn | 339.75 Mn | 1.43% |
| 8 | Ingredion | 6.05 Bn | 2.22 Bn | 426.00 Mn | 10.16% |
| 9 | Seaboard | 3.78 Bn | -1.04 Bn | 221.00 Mn | 3.42% |
| 10 | Bloomia Holdings | 6.30 Mn | 1.39 Mn | 655,000.00 | -110.17% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -110.17% |
| Mar 31, 2026 | -0.14% |
| Dec 31, 2025 | -33.97% |
| Sep 30, 2025 | -59.05% |
| Mar 31, 2025 | 11.51% |
| Dec 31, 2024 | -62.77% |
| Sep 30, 2024 | -20.38% |
| Jun 30, 2024 | -0.70% |
| Mar 31, 2024 | -20.47% |
| Sep 30, 2023 | -79.42% |
| Jun 30, 2023 | -26.09% |
| Mar 31, 2023 | -23.68% |
| Dec 31, 2022 | -17.20% |
| Sep 30, 2022 | -10.02% |
| Jun 30, 2022 | -33.84% |
| Mar 31, 2022 | 1.19% |
| Dec 31, 2021 | -27.69% |
| Sep 30, 2021 | -26.48% |
| Jun 30, 2021 | -13.99% |
| Mar 31, 2021 | -32.66% |
API Access
Bloomia Holdings Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=TULP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=TULP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();