Pepsico (PEP) Acquisitions (2009 - 2022)
Pepsico's (PEP) quarterly Acquisitions came in at $16.0 million in Q2 2022, up 77.78% year-over-year from $9.0 million in Q2 2021, and up 23.08% quarter-over-quarter from $13.0 million in Q1 2022.
Pepsico (PEP) Acquisitions (2009 - 2022) Analysis & Trends
Pepsico (PEP) has reported Acquisitions for 14 consecutive years, with $16.0 million the latest figure, recorded in Q2 2022.
- On a quarterly basis, Acquisitions rose 77.78% year-over-year to $16.0 million in Q2 2022; TTM through Jun 2022 was $68.0 million, a 90.87% decrease from a year earlier, with the FY2025 full-year figure at $3.4 billion, up 1224.61% from the prior year.
- Acquisitions was $16.0 million for Q2 2022 at Pepsico, up from $13.0 million in the prior quarter.
- Over five years, Acquisitions peaked at $5.2 billion in Q2 2020 and troughed at -$1.0 million in Q4 2020.
- A 5-year average of $593.1 million and a median of $60.5 million in 2018 frame the typical range for Acquisitions.
- Across the five-year window, Acquisitions jumped 7668.75% in 2018 and tumbled 101.12% in 2020, its largest moves.
- Over 5 years, Acquisitions stood at $1.2 billion in 2018, then sank by 92.84% to $89.0 million in 2019, then slumped by 101.12% to -$1.0 million in 2020, then jumped by 3400.0% to $33.0 million in 2021, then tumbled by 51.52% to $16.0 million in 2022.
- The last three Acquisitions figures came in at $16.0 million (Q2 2022), $13.0 million (Q1 2022), and $33.0 million (Q4 2021), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 379.05 Bn | 367.07 Bn | 8.42 Bn | - |
| 2 | Diageo | 209.58 Bn | 209.63 Bn | - | - |
| 3 | Coca Cola Femsa Sab De Cv | 185.97 Bn | 185.19 Bn | 2.06 Bn | - |
| 4 | Pepsico | 177.68 Bn | 167.14 Bn | 13.11 Bn | - |
| 5 | Monster Beverage | 86.02 Bn | 82.60 Bn | 1.42 Bn | - |
| 6 | Ambev | 46.18 Bn | 42.67 Bn | 2.06 Bn | - |
| 7 | Coca-Cola Europacific Partners | 44.77 Bn | 44.20 Bn | - | - |
| 8 | Keurig Dr Pepper | 43.22 Bn | 45.90 Bn | 3.07 Bn | - |
| 9 | Andina Bottling | 28.97 Bn | -301.93 Bn | 698.26 Mn | - |
| 10 | Constellation Brands | 19.91 Bn | 19.81 Bn | 1.32 Bn | 15.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 11, 2022 | 16.00 Mn |
| Mar 19, 2022 | 13.00 Mn |
| Dec 25, 2021 | 33.00 Mn |
| Sep 4, 2021 | 6.00 Mn |
| Jun 12, 2021 | 9.00 Mn |
| Mar 20, 2021 | 13.00 Mn |
| Dec 26, 2020 | -1.00 Mn |
| Sep 5, 2020 | 724.00 Mn |
| Jun 13, 2020 | 5.20 Bn |
| Mar 21, 2020 | 454.00 Mn |
| Dec 28, 2019 | 89.00 Mn |
| Sep 7, 2019 | 204.00 Mn |
| Jun 15, 2019 | 2.37 Bn |
| Mar 23, 2019 | 56.00 Mn |
| Dec 29, 2018 | 1.24 Bn |
| Sep 8, 2018 | 65.00 Mn |
| Jun 16, 2018 | 152.00 Mn |
| Mar 24, 2018 | 36.00 Mn |
| Dec 30, 2017 | 16.00 Mn |
| Sep 9, 2017 | 5.00 Mn |
Pepsico Acquisitions 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=acquisitions&ticker=PEP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "ticker": "PEP", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=acquisitions&ticker=PEP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();