Donegal (DGICB) Operating Expenses (2010 - 2026)
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Analysis
Donegal (DGICB) Operating Expenses (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 213.57 Mn |
| Mar 31, 2026 | 221.87 Mn |
| Dec 31, 2025 | 219.18 Mn |
| Sep 30, 2025 | 220.87 Mn |
| Jun 30, 2025 | 226.72 Mn |
| Mar 31, 2025 | 214.01 Mn |
| Dec 31, 2024 | 220.29 Mn |
| Sep 30, 2024 | 231.33 Mn |
| Jun 30, 2024 | 241.76 Mn |
| Mar 31, 2024 | 233.89 Mn |
| Dec 31, 2023 | 241.95 Mn |
| Sep 30, 2023 | 234.93 Mn |
| Jun 30, 2023 | 226.94 Mn |
| Mar 31, 2023 | 218.45 Mn |
| Dec 31, 2022 | 219.36 Mn |
| Sep 30, 2022 | 226.21 Mn |
| Jun 30, 2022 | 214.89 Mn |
| Mar 31, 2022 | 191.40 Mn |
| Dec 31, 2021 | 203.72 Mn |
| Sep 30, 2021 | 211.74 Mn |
API Access
Donegal 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=operating-expenses&ticker=DGICB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "DGICB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=DGICB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();