Pepsico (PEP) Other Operating Expenses (2022)
Pepsico's (PEP) quarterly Other Operating Expenses came in at -$14.0 million in Q3 2022, down 207.69% quarter-over-quarter from $13.0 million in Q2 2022.
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Analysis
Pepsico (PEP) Other Operating Expenses (2022) Analysis & Trends
Pepsico (PEP) has reported Other Operating Expenses for 1 consecutive years, with -$14.0 million the latest figure, recorded in Q3 2022.
- On a quarterly basis, Other Operating Expenses changed N/A year-over-year to -$14.0 million in Q3 2022; TTM through Jun 2023 was -$14.0 million, a 100.42% decrease from a year earlier, with the FY2022 full-year figure at $3.3 billion, changed N/A from the prior year.
- Other Operating Expenses was -$14.0 million for Q3 2022 at Pepsico, down from $13.0 million in the prior quarter.
- Over five years, Other Operating Expenses peaked at $3.3 billion in Q1 2022 and troughed at -$14.0 million in Q3 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 3, 2022 | -14.00 Mn |
| Jun 11, 2022 | 13.00 Mn |
| Mar 19, 2022 | 3.32 Bn |
API Access
Pepsico Other Operating Expenses 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=other-operating-expenses&ticker=PEP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=PEP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();