Nocera (NCRA) Price to Book (2021 - 2026)
Nocera's (NCRA) Price to Book stood at 0.82 in Q2 2026, down 89.9% from 8.14 a year earlier.
Analysis
Nocera (NCRA) Price to Book (2021 - 2026) Analysis & Trends
For FY2024, Nocera's Price to Book came in at 5.57, up 30.4% from FY2023.
- Across earlier years, Price to Book came in at 4.27 in FY2023 (+123.2%), 1.91 in FY2022 (-85.7%) and 13.41 in FY2021.
- The Q2 2026 figure is the lowest quarterly Price to Book in data going back to Q1 2021.
- On a year-over-year basis, Price to Book rose in five of the last six quarters, with growth averaging 56.3%.
- Peak year-over-year performance for Price to Book in the last five years was growth of 209.3% in Q2 2025, against a decline of 93.0% in Q3 2022 at the low end.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.47 Bn | 34.77 Bn | 1.94 Bn |
| 2 | Tyson Foods | 20.07 Bn | 16.43 Bn | 921.00 Mn |
| 3 | Bunge Global | 19.81 Bn | 17.31 Bn | 1.68 Bn |
| 4 | Jbs | 13.72 Bn | -19.55 Bn | 2.59 Bn |
| 5 | Darling Ingredients | 8.78 Bn | 8.39 Bn | 503.37 Mn |
| 6 | Smithfield Foods | 7.41 Bn | 2.36 Bn | 478.00 Mn |
| 7 | Pilgrims Pride | 6.69 Bn | 4.52 Bn | 339.75 Mn |
| 8 | Ingredion | 6.13 Bn | 2.31 Bn | 426.00 Mn |
| 9 | Seaboard | 3.70 Bn | -1.12 Bn | 221.00 Mn |
| 10 | Nocera | 2.22 Mn | -17.93 Mn | 17,998.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.82 |
| Sep 30, 2025 | 4.71 |
| Jun 30, 2025 | 8.14 |
| Mar 31, 2025 | 7.04 |
| Dec 31, 2024 | 5.57 |
| Sep 30, 2024 | 2.91 |
| Jun 30, 2024 | 2.63 |
| Mar 31, 2024 | 3.26 |
| Dec 31, 2023 | 4.27 |
| Sep 30, 2023 | 2.63 |
| Jun 30, 2023 | 4.42 |
| Mar 31, 2023 | 1.95 |
| Dec 31, 2022 | 1.91 |
| Sep 30, 2022 | 1.51 |
| Jun 30, 2022 | 15.04 |
| Mar 31, 2022 | 12.08 |
| Dec 31, 2021 | 13.41 |
| Sep 30, 2021 | 21.47 |
| Jun 30, 2021 | 17.62 |
| Mar 31, 2021 | 12.68 |
API Access
Nocera Price to Book 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-book&ticker=NCRA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "NCRA", "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-book&ticker=NCRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();