Price (90d)
No price history yet — the daily price refresh runs once a day.
Signal Score (90d)
80Quote
Valuation & Ratios
Returns & Efficiency
Revenue & Net Income (Annual)
| Fiscal Year | Revenue | Net Income | EPS |
|---|---|---|---|
| 2025 | $726.94M | $1.23M | $0.02 |
| 2024 | $617.02M | $-92.26M | $-1.26 |
| 2023 | $545.36M | $-111.44M | $-1.52 |
| 2022 | $467.99M | $-150.92M | $-2.08 |
| 2021 | $369.26M | $-88.64M | $-1.25 |
Social Signal Score
Earnings
Thu, Nov 5(in 3 months)
Consensus estimate $0.33 per share
Typical surprise +54.4% (median, so one quarter with a near-zero estimate can't distort it)
- Thu, Aug 6$0.13 vs $0.00beat
- Thu, May 7$0.27 vs $0.19beat
- Thu, Feb 19$0.15 vs $0.09beat
- Thu, Nov 6$0.32 vs $0.05beat
- Thu, Aug 7$-0.14 vs $-0.13miss
- Thu, May 8$0.13 vs $0.03beat
Estimates and results for APPN via Financial Modeling Prep. Beating consensus says the company cleared the bar analysts set, not that the business grew.
Valuation
Project earnings forward and see what return today's price implies.
EPS was negative in at least one boundary year, so a compound growth rate can't be computed from it. Set your own assumption.
- EPS in 5 years
- $0.02
- Implied price
- $0.44
- Return from $35.41
- -58.4% a year
To earn 15.0% a year on these assumptions you'd need to buy at $0.22 — -99.4% below today's price.
How sensitive is that answer?
Annual return across nearby assumptions. If the result is only attractive in one corner, that is the finding.
| growth \ P/E | 12 | 15 | 18 | 21 | 24 |
|---|---|---|---|---|---|
| -2.0% | -65.2% | -63.6% | -62.3% | -61.1% | -60.0% |
| 3.0% | -63.4% | -61.8% | -60.3% | -59.1% | -58.0% |
| 8.0% | -61.7% | -59.9% | -58.4% | -57.1% | -56.0% |
| 13.0% | -59.9% | -58.0% | -56.5% | -55.1% | -53.9% |
| 18.0% | -58.1% | -56.2% | -54.6% | -53.1% | -51.9% |
This is arithmetic on assumptions you chose, not a forecast or a recommendation. It ignores dividends, buybacks, share issuance and debt, and it assumes a company still earning money in 5 years. Change any input and the answer changes a lot — that sensitivity is the honest result, not a flaw in the model.
Mentions (1)
- Newsprnewswire.com·4d ago·Negative
Appian and Synechron introduce Open Underwriting Stack for AI-Powered, Connected Underwriting Joint architecture combines Synechron's InsureMESH with the Appian Platform to help carriers modernize underwriting without disrupting core systems. NEW YORK, Aug. 11, 2026 /PRNewswire/ -- Appian [Nasdaq: APPN] and Synechron announced the Open Underwriting Stack, a joint reference architecture designed to help insurance carriers accelerate underwriting with AI process automation and an open data foundat
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