Donegal (DGICA) Total Non-Current Liabilities (2010 - 2026)
Donegal's Total Non-Current Liabilities was $1.81 billion in Q2 2026, up 0.8% from $1.79 billion a year earlier and up 0.9% from the prior quarter.
Donegal (DGICA) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Donegal came in at $1.74 billion, down 2.5% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 1.2% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $1.78 billion in FY2024 (+0.2%), $1.78 billion in FY2023 (+1.5%), $1.75 billion in FY2022 (+2.1%) and $1.72 billion in FY2021 (+4.9%).
- The Q2 2026 figure marks the highest quarterly Total Non-Current Liabilities since Q3 2024.
- Compared with a year earlier, Total Non-Current Liabilities was higher in four of the last eight quarters, with an average decline of 0.5%.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q4 2021 (growth of 4.9%); the worst was Q2 2025 (a decline of 2.7%).
- Per Business Quant data, DGICA's Total Non-Current Liabilities in the three quarters before Q2 2026 was $1.79 billion (Q1 2026), $1.74 billion (Q4 2025) and $1.79 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,073.91 Bn | -343.57 Bn | 55.86 Bn | 512.32 Bn |
| 2 | Chubb | 125.44 Bn | 77.50 Bn | 9.13 Bn | 193.01 Bn |
| 3 | Progressive | 120.54 Bn | 96.37 Bn | 9.04 Bn | - |
| 4 | Marsh & Mclennan Companies | 81.59 Bn | 73.34 Bn | - | 42.76 Bn |
| 5 | Travelers Companies | 74.40 Bn | 50.64 Bn | 6.23 Bn | 103.73 Bn |
| 6 | Manulife Financial | 72.53 Bn | 73.74 Bn | - | 729.04 Bn |
| 7 | Metlife | 60.06 Bn | -46.42 Bn | 7.82 Bn | 574.78 Bn |
| 8 | Aon | 58.71 Bn | 51.95 Bn | - | 42.27 Bn |
| 9 | Arthur J. Gallagher | 58.49 Bn | 52.93 Bn | - | 55.80 Bn |
| 10 | Donegal | 559.96 Mn | 435.38 Mn | 108.56 Mn | 1.81 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.81 Bn |
| Mar 31, 2026 | 1.79 Bn |
| Dec 31, 2025 | 1.74 Bn |
| Sep 30, 2025 | 1.79 Bn |
| Jun 30, 2025 | 1.79 Bn |
| Mar 31, 2025 | 1.77 Bn |
| Dec 31, 2024 | 1.78 Bn |
| Sep 30, 2024 | 1.82 Bn |
| Jun 30, 2024 | 1.84 Bn |
| Mar 31, 2024 | 1.80 Bn |
| Dec 31, 2023 | 1.78 Bn |
| Sep 30, 2023 | 1.78 Bn |
| Jun 30, 2023 | 1.79 Bn |
| Mar 31, 2023 | 1.78 Bn |
| Dec 31, 2022 | 1.75 Bn |
| Sep 30, 2022 | 1.75 Bn |
| Jun 30, 2022 | 1.73 Bn |
| Mar 31, 2022 | 1.71 Bn |
| Dec 31, 2021 | 1.72 Bn |
| Sep 30, 2021 | 1.71 Bn |
Donegal Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=DGICA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "DGICA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=total-non-current-liabilities&ticker=DGICA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();