Peoples Financial Services (PFIS) Restructuring Costs (2013 - 2025)
Peoples Financial Services' Restructuring Costs was $236,000 in FY2025, down 98.5% from $16.2 million in FY2024.
Analysis
Peoples Financial Services (PFIS) Restructuring Costs (2013 - 2025) Analysis & Trends
From FY2013 onward, Peoples Financial Services has reported Restructuring Costs for 5 years.
- The FY2025 figure marks the lowest annual Restructuring Costs in data going back to FY2013.
- Per Business Quant data, Restructuring Costs in earlier years was $16.2 million in FY2024 (+792.1%) and $1.82 million in FY2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - |
| 10 | Peoples Financial Services | 674.30 Mn | -370.34 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 16,000.00 |
| Jun 30, 2025 | 66,000.00 |
| Mar 31, 2025 | 154,000.00 |
| Dec 31, 2024 | 4.99 Mn |
| Sep 30, 2024 | 9.65 Mn |
| Jun 30, 2024 | 1.07 Mn |
| Mar 31, 2024 | 486,000.00 |
| Dec 31, 2023 | 826,000.00 |
| Sep 30, 2023 | 869,000.00 |
| Jun 30, 2023 | 121,000.00 |
| Sep 30, 2014 | 109,000.00 |
| Jun 30, 2014 | 1.01 Mn |
| Mar 31, 2014 | 608,000.00 |
| Dec 31, 2013 | 4.38 Mn |
| Sep 30, 2013 | 220,000.00 |
| Jun 30, 2013 | 5,000.00 |
API Access
Peoples Financial Services Restructuring Costs 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=restructuring-costs&ticker=PFIS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "ticker": "PFIS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=restructuring-costs&ticker=PFIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();