South Dakota Soybean Processors (SDSYA) EV to FCF (2018 - 2023)
South Dakota Soybean Processors' (SDSYA) EV to FCF stood at 8.84 in Q4 2023, down 24.3% from 11.68 a year earlier but up 124.5% from the prior quarter.
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Analysis
South Dakota Soybean Processors (SDSYA) EV to FCF (2018 - 2023) Analysis & Trends
Starting with Q3 2018, South Dakota Soybean Processors' EV to FCF history includes 15 quarters.
- Across earlier years, EV to FCF came in at 11.68 in FY2022 (-62.9%), 31.48 in FY2021 (+255.5%) and 8.86 in FY2020.
- Quarterly EV to FCF has ranged from 3.59 in Q2 2019 to 135.63 in Q3 2019 over the past five years.
- On a year-over-year basis, EV to FCF has declined for five consecutive quarters, with an average decline of 47.2% over the last five quarters.
- Per Business Quant, the preceding three quarters came in at 3.94 (Q3 2023), 4.53 (Q2 2023) and 5.95 (Q1 2023).
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 | South Dakota Soybean Processors | 243.29 Mn | 209.03 Mn | 36.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 8.84 |
| Sep 30, 2023 | 3.94 |
| Jun 30, 2023 | 4.53 |
| Mar 31, 2023 | 5.95 |
| Dec 31, 2022 | 11.68 |
| Sep 30, 2022 | 6.72 |
| Jun 30, 2022 | 5.82 |
| Mar 31, 2022 | 39.90 |
| Dec 31, 2021 | 31.48 |
| Dec 31, 2020 | 8.86 |
| Sep 30, 2019 | 135.63 |
| Jun 30, 2019 | 3.59 |
| Mar 31, 2019 | 4.52 |
| Dec 31, 2018 | 3.92 |
| Sep 30, 2018 | 12.74 |
API Access
South Dakota Soybean Processors EV to FCF 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=ev-to-fcf&ticker=SDSYA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-fcf", "ticker": "SDSYA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=ev-to-fcf&ticker=SDSYA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();