Appian (APPN) Total Liabilities (2016 - 2026)
Appian (APPN) recorded Total Liabilities of $690.89 million in Q2 2026, up 7.2% from $644.49 million a year earlier and up 1.3% from the prior quarter.
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Analysis
Appian (APPN) Total Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2025, Appian reported Total Liabilities of $738.39 million, up 13.0% from FY2024.
- Annual Total Liabilities has increased for eight straight years, with a five-year compound annual growth rate of 27.9% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $653.68 million in FY2024 (+13.7%), $575.16 million in FY2023 (+28.2%), $448.51 million in FY2022 (+65.7%) and $270.6 million in FY2021 (+25.3%).
- Quarterly Total Liabilities has ranged from $237.89 million in Q3 2021 to $738.39 million in Q4 2025 over the past five years.
- On a year-over-year basis, Total Liabilities has increased for 27 consecutive quarters, with growth averaging 9.6% over the last eight quarters.
- Across the past five years, year-over-year growth in Total Liabilities ran from 3.2% in Q1 2025 to 103.4% in Q1 2023.
- Per Business Quant, the preceding three quarters came in at $682.33 million (Q1 2026), $738.39 million (Q4 2025) and $660.28 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 466.13 Bn | 435.08 Bn | 1.64 Bn | 1.79 Bn |
| 2 | Oracle | 383.82 Bn | 255.95 Bn | - | 236.06 Bn |
| 3 | Sap Se | 263.61 Bn | 191.39 Bn | 8.40 Bn | 34.68 Bn |
| 4 | Salesforce | 198.89 Bn | 154.76 Bn | 8.70 Bn | 71.24 Bn |
| 5 | ServiceNow | 149.64 Bn | 128.10 Bn | 2.82 Bn | 19.15 Bn |
| 6 | Automatic Data Processing | 115.45 Bn | 97.58 Bn | 2.51 Bn | 57.16 Bn |
| 7 | Intuit | 89.90 Bn | 69.25 Bn | 3.44 Bn | 17.79 Bn |
| 8 | Relx | 71.97 Bn | 71.07 Bn | - | 18.26 Bn |
| 9 | Thomson Reuters | 48.55 Bn | 45.33 Bn | - | 6.95 Bn |
| 10 | Appian | 3.08 Bn | 2.33 Bn | 144.74 Mn | 690.89 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 690.89 Mn |
| Mar 31, 2026 | 682.33 Mn |
| Dec 31, 2025 | 738.39 Mn |
| Sep 30, 2025 | 660.28 Mn |
| Jun 30, 2025 | 644.49 Mn |
| Mar 31, 2025 | 624.64 Mn |
| Dec 31, 2024 | 653.68 Mn |
| Sep 30, 2024 | 599.71 Mn |
| Jun 30, 2024 | 600.24 Mn |
| Mar 31, 2024 | 605.02 Mn |
| Dec 31, 2023 | 575.16 Mn |
| Sep 30, 2023 | 528.94 Mn |
| Jun 30, 2023 | 531.72 Mn |
| Mar 31, 2023 | 528.42 Mn |
| Dec 31, 2022 | 448.51 Mn |
| Sep 30, 2022 | 281.62 Mn |
| Jun 30, 2022 | 264.57 Mn |
| Mar 31, 2022 | 259.76 Mn |
| Dec 31, 2021 | 270.60 Mn |
| Sep 30, 2021 | 237.89 Mn |
API Access
Appian Total 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-liabilities&ticker=APPN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "APPN", "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-liabilities&ticker=APPN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();