Donegal (DGICA) Accounts Payables (2011 - 2026)
Donegal (DGICA) posted Accounts Payables of $4.35 million for Q1 2026.
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Analysis
Donegal (DGICA) Accounts Payables (2011 - 2026) Analysis & Trends
At the end of FY2019, Donegal's Accounts Payables came in at $1,119, down 99.9% from FY2018.
- Annual Accounts Payables shows a four-year compound annual growth rate of -79.1% (FY2015 to FY2019).
- In prior years, Donegal's Accounts Payables was $1 million in FY2018 and $582,560 in FY2015.
- The Q1 2026 figure stands as the lowest quarterly Accounts Payables since Q2 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,073.91 Bn | -343.57 Bn | 55.86 Bn | 61.85 Bn |
| 2 | Chubb | 125.44 Bn | 77.50 Bn | 9.13 Bn | 10.07 Bn |
| 3 | Progressive | 120.54 Bn | 96.37 Bn | 9.04 Bn | 9.18 Bn |
| 4 | Marsh & Mclennan Companies | 81.59 Bn | 73.34 Bn | - | 4.05 Bn |
| 5 | Travelers Companies | 74.40 Bn | 50.64 Bn | 6.23 Bn | - |
| 6 | Manulife Financial | 72.53 Bn | 73.74 Bn | - | - |
| 7 | Metlife | 60.06 Bn | -46.42 Bn | 7.82 Bn | - |
| 8 | Aon | 58.71 Bn | 51.95 Bn | - | 2.27 Bn |
| 9 | Arthur J. Gallagher | 58.49 Bn | 52.93 Bn | - | - |
| 10 | Donegal | 559.96 Mn | 435.38 Mn | 108.56 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 4.35 Mn |
| Sep 30, 2025 | 7.98 Mn |
| Jun 30, 2022 | 1.11 Mn |
| Mar 31, 2022 | 3.25 Mn |
| Sep 30, 2021 | 2.07 Mn |
| Jun 30, 2021 | 11.30 Mn |
| Mar 31, 2021 | 2.18 Mn |
| Sep 30, 2020 | 9.07 Mn |
| Jun 30, 2020 | 6.16 Mn |
| Mar 31, 2020 | 2.92 Mn |
| Dec 31, 2019 | 1,119.00 |
| Sep 30, 2019 | 1.96 Mn |
| Jun 30, 2019 | 5.22 Mn |
| Dec 31, 2018 | 1.00 Mn |
| Dec 31, 2015 | 582,560.00 |
| Dec 31, 2013 | 751,641.00 |
| Sep 30, 2011 | 9.85 Mn |
| Jun 30, 2011 | 3.24 Mn |
API Access
Donegal Accounts Payables 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=accounts-payables&ticker=DGICA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "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=accounts-payables&ticker=DGICA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();