Cullen/Frost Bankers, Inc. (CFR) Equipment Expense (2009 - 2026)
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Analysis
Cullen/Frost Bankers, Inc. (CFR) Equipment Expense (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 42.56 Mn |
| Mar 31, 2026 | 41.67 Mn |
| Dec 31, 2025 | 41.58 Mn |
| Sep 30, 2025 | 43.48 Mn |
| Jun 30, 2025 | 40.57 Mn |
| Mar 31, 2025 | 40.12 Mn |
| Dec 31, 2024 | 39.78 Mn |
| Sep 30, 2024 | 37.77 Mn |
| Jun 30, 2024 | 35.95 Mn |
| Mar 31, 2024 | 35.00 Mn |
| Dec 31, 2023 | 34.48 Mn |
| Sep 30, 2023 | 35.28 Mn |
| Jun 30, 2023 | 33.04 Mn |
| Mar 31, 2023 | 32.48 Mn |
| Dec 31, 2022 | 30.91 Mn |
| Sep 30, 2022 | 30.78 Mn |
| Jun 30, 2022 | 29.92 Mn |
| Mar 31, 2022 | 29.16 Mn |
| Dec 31, 2021 | 28.23 Mn |
| Sep 30, 2021 | 28.49 Mn |
API Access
Cullen/Frost Bankers, Inc. Equipment Expense 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=equipment-expense&ticker=CFR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "equipment-expense", "ticker": "CFR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=equipment-expense&ticker=CFR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();