Pyxus International (PYYX) Cash & Equivalents (2016 - 2026)
Pyxus International's Cash & Equivalents was $175.91 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 82.4% from $96.44 million a year earlier and up 30.9% from the prior quarter.
Pyxus International (PYYX) Cash & Equivalents (2016 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Cash & Equivalents at Pyxus International came in at $134.34 million, up 71.7% from FY2025.
- Cash & Equivalents shows a five-year compound annual growth rate of 7.7% (FY2021 to FY2026).
- In earlier fiscal years, Cash & Equivalents was $78.25 million in FY2025 (-15.5%), $92.57 million in FY2024 (-32.3%), $136.73 million in FY2023 (-31.2%) and $198.78 million in FY2022 (+114.4%).
- The fiscal Q1 2027 figure marks the highest quarterly Cash & Equivalents since fiscal Q3 2023.
- Compared with a year earlier, Cash & Equivalents has increased for three straight quarters, with growth averaging 23.4% over the last eight quarters.
- The best year-over-year quarter for Cash & Equivalents over five years was fiscal Q4 2022 (growth of 114.4%); the worst was fiscal Q3 2024 (a decline of 58.3%).
- Per Business Quant data, PYYX's Cash & Equivalents in the three fiscal quarters before Q1 2027 was $134.34 million (Q4 2026), $129.84 million (Q3 2026) and $99.24 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.78 Bn | 35.07 Bn | 1.94 Bn | 1.06 Bn |
| 2 | Bunge Global | 20.50 Bn | 18.00 Bn | 1.68 Bn | 593.00 Mn |
| 3 | Tyson Foods | 18.25 Bn | 14.61 Bn | 921.00 Mn | 740.00 Mn |
| 4 | Jbs | 12.94 Bn | -20.17 Bn | 2.59 Bn | 3.47 Bn |
| 5 | Darling Ingredients | 9.93 Bn | 9.53 Bn | 503.37 Mn | 160.74 Mn |
| 6 | Smithfield Foods | 7.43 Bn | 2.38 Bn | 478.00 Mn | 1.35 Bn |
| 7 | Pilgrims Pride | 6.55 Bn | 4.38 Bn | 339.75 Mn | 388.84 Mn |
| 8 | Ingredion | 6.02 Bn | 2.19 Bn | 426.00 Mn | 948.00 Mn |
| 9 | Seaboard | 3.87 Bn | -946.73 Mn | 221.00 Mn | 145.00 Mn |
| 10 | Pyxus International | 73.58 Mn | -458.88 Mn | 61.41 Mn | 175.91 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 175.91 Mn |
| Mar 31, 2026 | 134.34 Mn |
| Dec 31, 2025 | 129.84 Mn |
| Sep 30, 2025 | 99.24 Mn |
| Jun 30, 2025 | 96.44 Mn |
| Mar 31, 2025 | 78.25 Mn |
| Dec 31, 2024 | 103.34 Mn |
| Sep 30, 2024 | 123.49 Mn |
| Jun 30, 2024 | 82.04 Mn |
| Mar 31, 2024 | 92.57 Mn |
| Dec 31, 2023 | 90.25 Mn |
| Sep 30, 2023 | 112.10 Mn |
| Jun 30, 2023 | 100.05 Mn |
| Mar 31, 2023 | 136.73 Mn |
| Dec 31, 2022 | 216.45 Mn |
| Sep 30, 2022 | 114.08 Mn |
| Jun 30, 2022 | 165.44 Mn |
| Mar 31, 2022 | 198.78 Mn |
| Dec 31, 2021 | 146.08 Mn |
| Sep 30, 2021 | 127.64 Mn |
Pyxus International Cash & Equivalents 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=cash-and-equivalents&ticker=PYYX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "PYYX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=cash-and-equivalents&ticker=PYYX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();