PicS (PICS) Wages, Salaries and Other (2025 - 2026)
PicS (PICS) reported Wages, Salaries and Other of -$57.83 million for the quarter ended Jun 30, 2026, compared with -$57.45 million a year earlier.
PicS (PICS) Wages, Salaries and Other (2025 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, PicS's Wages, Salaries and Other came in at -$223.85 million; for the year ended Dec 31, 2025, it was -$254.89 million.
- By year, Wages, Salaries and Other came in at -$203.57 million in the year ended Dec 31, 2024 and -$176.22 million in the year ended Dec 31, 2023.
- Five-year quarterly Wages, Salaries and Other spans a low of -$64.15 million in the quarter ended Mar 31, 2026 and a high of -$44.43 million in the quarter ended Mar 31, 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Wages (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 15.16 Bn |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | -104.91 Bn |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 10.99 Bn |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | 8.19 Bn |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | - |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | 6.10 Bn |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 8.85 Bn |
| 10 | PicS | 1,818.00 | 532,313.59 | 246.23 Mn | -57.83 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -57.83 Mn |
| Mar 31, 2026 | -64.15 Mn |
| Jun 30, 2025 | -57.45 Mn |
| Mar 31, 2025 | -44.43 Mn |
PicS Wages, Salaries and Other 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=wages-salaries-and-other&ticker=PICS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "wages-salaries-and-other", "ticker": "PICS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=wages-salaries-and-other&ticker=PICS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();