Bloomia Holdings (TULP) Price to Earnings (2011 - 2023)
Bloomia Holdings' (TULP) Price to Earnings came in at 5.95 for FY2025 (year ended Jun 30, 2025).
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Analysis
Bloomia Holdings (TULP) Price to Earnings (2011 - 2023) Analysis & Trends
Since FY2009, Bloomia Holdings has reported Price to Earnings for 10 fiscal years.
- The FY2025 figure stands as the highest annual Price to Earnings since FY2018.
- Business Quant data shows TULP's Price to Earnings at 3.33 in FY2023 (+138.3%) and 1.40 in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.27 Bn | 34.56 Bn | 1.94 Bn |
| 2 | Bunge Global | 20.55 Bn | 18.06 Bn | 1.68 Bn |
| 3 | Tyson Foods | 17.78 Bn | 14.14 Bn | 921.00 Mn |
| 4 | Jbs | 12.53 Bn | -20.58 Bn | 2.59 Bn |
| 5 | Darling Ingredients | 9.59 Bn | 9.18 Bn | 503.37 Mn |
| 6 | Smithfield Foods | 7.37 Bn | 2.32 Bn | 478.00 Mn |
| 7 | Pilgrims Pride | 6.43 Bn | 4.26 Bn | 339.75 Mn |
| 8 | Ingredion | 6.05 Bn | 2.22 Bn | 426.00 Mn |
| 9 | Seaboard | 3.78 Bn | -1.04 Bn | 221.00 Mn |
| 10 | Bloomia Holdings | 6.30 Mn | 1.39 Mn | 655,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 3.33 |
| Sep 30, 2023 | 4.67 |
| Jun 30, 2023 | 1.09 |
| Mar 31, 2023 | 1.13 |
| Dec 31, 2022 | 1.40 |
| Sep 30, 2022 | 1.12 |
| Mar 31, 2019 | 836.31 |
| Dec 31, 2018 | 12.61 |
| Sep 30, 2018 | 12.59 |
| Jun 30, 2018 | 13.47 |
| Mar 31, 2018 | 26.40 |
| Sep 30, 2016 | 542.84 |
| Jun 30, 2016 | 32.55 |
| Mar 31, 2016 | 29.65 |
| Dec 31, 2015 | 21.76 |
| Sep 30, 2015 | 58.09 |
| Jun 30, 2015 | 89.85 |
| Mar 31, 2015 | 190.60 |
| Dec 31, 2014 | 206.85 |
| Sep 30, 2014 | 36.10 |
API Access
Bloomia Holdings Price to Earnings 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=price-to-earnings&ticker=TULP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=TULP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();