Pnc Financial Services Group, Inc. (PNC) Accumulated Expenses (2009 - 2026)
Pnc Financial Services (PNC) reported Accumulated Expenses of $15.65 billion for Q2 2026, up 15.3% from $13.57 billion a year earlier and up 10.2% from the prior quarter.
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Analysis
Pnc Financial Services Group, Inc. (PNC) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Pnc Financial Services posted Accumulated Expenses of $14.15 billion, down 13.9% from FY2024.
- Accumulated Expenses has a five-year compound annual growth rate of 8.3% (FY2020 to FY2025).
- By year, Accumulated Expenses came in at $16.44 billion in FY2024 (+5.2%), $15.62 billion in FY2023 (-0.9%), $15.76 billion in FY2022 (+23.7%) and $12.74 billion in FY2021 (+33.9%).
- The Q2 2026 figure ranks as the highest quarterly Accumulated Expenses since Q4 2024.
- Year over year, Accumulated Expenses gained in three of the last eight quarters, with an average decline of 4.5%.
- The high point for year-over-year Accumulated Expenses in five years was Q2 2022 (growth of 39.7%); the low point was Q3 2025 (a decline of 15.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $14.21 billion (Q1 2026), $14.15 billion (Q4 2025) and $13.86 billion (Q3 2025).
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Historic Data
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Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.65 Bn |
| Mar 31, 2026 | 14.21 Bn |
| Dec 31, 2025 | 14.15 Bn |
| Sep 30, 2025 | 13.86 Bn |
| Jun 30, 2025 | 13.57 Bn |
| Mar 31, 2025 | 13.96 Bn |
| Dec 31, 2024 | 16.44 Bn |
| Sep 30, 2024 | 16.39 Bn |
| Jun 30, 2024 | 15.34 Bn |
| Mar 31, 2024 | 15.79 Bn |
| Dec 31, 2023 | 15.62 Bn |
| Sep 30, 2023 | 17.44 Bn |
| Jun 30, 2023 | 15.33 Bn |
| Mar 31, 2023 | 14.38 Bn |
| Dec 31, 2022 | 15.76 Bn |
| Sep 30, 2022 | 19.25 Bn |
| Jun 30, 2022 | 15.62 Bn |
| Mar 31, 2022 | 14.62 Bn |
| Dec 31, 2021 | 12.74 Bn |
| Sep 30, 2021 | 14.20 Bn |
API Access
Pnc Financial Services Group, Inc. Accumulated 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=accumulated-expenses&ticker=PNC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "PNC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=PNC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();